Learn how Verizon’s big data and AI platform is embracing digital transformation, and how it delivers actionable insights, predictions, and trends to its digital consumers.
Apache Atlas provides metadata services and a centralized metadata repository for Hadoop platforms. It aims to enable data governance across structured and unstructured data through hierarchical taxonomies. Upcoming features include expanded dataset lineage tracking and integration with Apache Kafka and Ranger for dynamic access policy management. Challenges of big data management include scaling traditional tools to handle large volumes of entities and metadata, and Atlas addresses this through its decentralized and metadata-driven approach.
Data Con LA 2020
Description
In this session, I introduce the Amazon Redshift lake house architecture which enables you to query data across your data warehouse, data lake, and operational databases to gain faster and deeper insights. With a lake house architecture, you can store data in open file formats in your Amazon S3 data lake.
Speaker
Antje Barth, Amazon Web Services, Sr. Developer Advocate, AI and Machine Learning
The document discusses Microsoft's data platform and cloud services. It highlights:
1) Microsoft's data platform provides intelligence over all data with SQL and Apache Spark, enabling AI and machine learning over any data.
2) Microsoft offers data modernization solutions for migrating to the cloud or managing data on-premises and in hybrid environments.
3) Migrating databases to Azure provides cost savings, security, high performance, and intelligent capabilities through services like Azure SQL Database and Azure Cosmos DB.
Comprised of five integrated solutions and underpinned by leading technology, Accenture's INTIENT Patient Platform helps life sciences companies better support patients from clinical trials through ongoing treatment and wellness. Visit https://accntu.re/2VWigzh to learn more.
This document discusses designing a modern data warehouse in Azure. It provides an overview of traditional vs. self-service data warehouses and their limitations. It also outlines challenges with current data warehouses around timeliness, flexibility, quality and findability. The document then discusses why organizations need a modern data warehouse based on criteria like customer experience, quality assurance and operational efficiency. It covers various approaches to ingesting, storing, preparing, modeling and serving data on Azure. Finally, it discusses architectures like the lambda architecture and common data models.
Streaming Real-time Data to Azure Data Lake Storage Gen 2Carole Gunst
Check out this presentation to learn the basics of using Attunity Replicate to stream real-time data to Azure Data Lake Storage Gen2 for analytics projects.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
BigTable is a distributed storage system with three main components: a master server that manages tablet assignment and load balancing, tablet servers that handle reads/writes and split tablets, and a client library. It uses a column-oriented data model indexed by row, column, and timestamp, with tablets located through a hierarchy and assigned by the master to tablet servers. HBase is an open source Apache project that is a BigTable clone written in Java without Chubby or a CMS server, instead using ZooKeeper and the JobTracker.
SAS Viya is a visual analytics platform that allows users to perform various tasks including visual data mining, machine learning, fraud detection, and data manipulation. It contains procedures for machine learning algorithms like random forests and neural networks. It also contains statistical procedures like clustering, regression, and principal component analysis. SAS Viya supports analyzing data using SAS, Python, Java, and Lua for tasks like prediction, scoring, and text mining.
IT Simplification And Modernization PowerPoint Presentation SlidesSlideTeam
Our topic specific It Simplification And Modernization PowerPoint Presentation Slides presentation deck contain thirty-three slides to formulate the topic with a sound understanding. This PPT deck is what you can bank upon. With diverse and professional slides at your side, worry the least for a powerpack presentation. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. This deck displays creative and professional looking slides of all sorts. Whether you are a member of an assigned team or a designated official on the look out for impacting slides, it caters to every professional field.
This document discusses Data as a Service (DaaS) in cloud computing. It defines DaaS and explains that it allows users to access data stored in the cloud from any location. The document outlines the components, architecture, pricing models, benefits and drawbacks of DaaS. It provides examples of companies that offer DaaS like Google, Windows Azure, and Amazon.
The document provides an overview of high performance scalable data stores, also known as NoSQL systems, that have been introduced to provide faster indexed data storage than relational databases. It discusses key-value stores, document stores, extensible record stores, and relational databases that provide horizontal scaling. The document contrasts several popular NoSQL systems, including Redis, Scalaris, Tokyo Tyrant, Voldemort, Riak, and SimpleDB, focusing on their data models, features, performance, and tradeoffs between consistency and scalability.
Accenture Oracle Business Group: Helping You Become a High Velocity EnterpriseAccenture Technology
The Accenture Oracle Business Group combines Oracle’s broad set of cloud offerings with Accenture’s deep industry, technology and delivery experience to accelerate the next wave of digital transformation. To find out more, visit www.accenture.com/aobg
This document provides an overview of Apache Atlas and how it addresses big data governance issues for enterprises. It discusses how Atlas provides a centralized metadata repository that allows users to understand data across Hadoop components. It also describes how Atlas integrates with Apache Ranger to enable dynamic security policies based on metadata tags. Finally, it outlines new capabilities in upcoming Atlas releases, including cross-component data lineage tracking and a business taxonomy/catalog.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
This document discusses architecting a data lake. It begins by introducing the speaker and topic. It then defines a data lake as a repository that stores enterprise data in its raw format including structured, semi-structured, and unstructured data. The document outlines some key aspects to consider when architecting a data lake such as design, security, data movement, processing, and discovery. It provides an example design and discusses solutions from vendors like AWS, Azure, and GCP. Finally, it includes an example implementation using Azure services for an IoT project that predicts parts failures in trucks.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Data & Analytics ReInvent Recap [AWS Basel Meetup - Jan 2023]Chris Bingham
The document discusses several announcements related to Amazon Web Services (AWS) data and analytics services. Some of the key announcements include:
- Zero-ETL integration between Amazon Aurora and Amazon Redshift to eliminate the need for extract, transform, and load processes between the two services.
- Updates to AWS Glue including new engines, data formats, and support for the Cloud Shuffle Service Plugin for Apache Spark.
- Enhancements to Amazon SageMaker such as automated data preparation using machine learning, geospatial modeling capabilities, and shadow testing for machine learning models.
- New services including Amazon DataZone for data discovery and access across organizations, Amazon Omics for genomic data storage and analysis, and AWS
Big data architectures and the data lakeJames Serra
The document provides an overview of big data architectures and the data lake concept. It discusses why organizations are adopting data lakes to handle increasing data volumes and varieties. The key aspects covered include:
- Defining top-down and bottom-up approaches to data management
- Explaining what a data lake is and how Hadoop can function as the data lake
- Describing how a modern data warehouse combines features of a traditional data warehouse and data lake
- Discussing how federated querying allows data to be accessed across multiple sources
- Highlighting benefits of implementing big data solutions in the cloud
- Comparing shared-nothing, massively parallel processing (MPP) architectures to symmetric multi-processing (
Apache Atlas provides centralized metadata services and cross-component dataset lineage tracking for Hadoop components. It aims to enable transparent, reproducible, auditable and consistent data governance across structured, unstructured, and traditional database systems. The near term roadmap includes dynamic access policy driven by metadata and enhanced Hive integration. Apache Atlas also pursues metadata exchange with non-Hadoop systems and third party vendors through REST APIs and custom reporters.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Micro Focus is uniquely positioned to help customers maximize existing software investments and embrace innovation in a world of hybrid IT—from mainframe to mobile to cloud.
We are one of the largest pure-play software companies in the world, focused from the ground up on building, selling, and supporting software. This focus allows us to deliver on our mission to put customers at the center of innovation and deliver high-quality, enterprise-grade scalable software that our teams can be proud of. We help customers bridge the old and the new by maximizing the ROI on existing software investments and enabling innovation in the new hybrid model for enterprise IT.
We believe that organizations don't need to eliminate the past to make way for the future. Everything we do is based on a simple idea: The quickest, safest way to get results is to build on what you have. Our software does just that. It bridges the gap between existing and emerging technologies—so you can innovate faster, with less risk, in the race to digital transformation.
The document discusses migrating a data warehouse to the Databricks Lakehouse Platform. It outlines why legacy data warehouses are struggling, how the Databricks Platform addresses these issues, and key considerations for modern analytics and data warehousing. The document then provides an overview of the migration methodology, approach, strategies, and key takeaways for moving to a lakehouse on Databricks.
Column-oriented databases store data by column rather than by row. This allows fast retrieval of entire columns of data with one read operation. Column-oriented databases are well-suited for analytical queries that retrieve many rows but only a few columns, as only the needed columns are read from disk. Row-oriented databases are better for transactional queries that retrieve or update individual rows. The type of data storage - row-oriented or column-oriented - depends on the types of queries that will be run against the data.
From Denver based identity and access management vendor Ping Identity comes this presentation explaining how financial services can benefit from identity management solutions.
Cybercrime is about profit and making money. And cybercriminals make money on your data. Whether it’s personally identifiable information, payment or healthcare information, or your intellectual property, your data means money to cybercriminals. Imperva protects cloud applications, websites, web applications, critical databases, files and Big Data repositories from hackers and insider threats—ultimately protecting your data—the one thing that matters most. Haiko Wolberink, AVP Middle East and Africa, Imperva
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
BigTable is a distributed storage system with three main components: a master server that manages tablet assignment and load balancing, tablet servers that handle reads/writes and split tablets, and a client library. It uses a column-oriented data model indexed by row, column, and timestamp, with tablets located through a hierarchy and assigned by the master to tablet servers. HBase is an open source Apache project that is a BigTable clone written in Java without Chubby or a CMS server, instead using ZooKeeper and the JobTracker.
SAS Viya is a visual analytics platform that allows users to perform various tasks including visual data mining, machine learning, fraud detection, and data manipulation. It contains procedures for machine learning algorithms like random forests and neural networks. It also contains statistical procedures like clustering, regression, and principal component analysis. SAS Viya supports analyzing data using SAS, Python, Java, and Lua for tasks like prediction, scoring, and text mining.
IT Simplification And Modernization PowerPoint Presentation SlidesSlideTeam
Our topic specific It Simplification And Modernization PowerPoint Presentation Slides presentation deck contain thirty-three slides to formulate the topic with a sound understanding. This PPT deck is what you can bank upon. With diverse and professional slides at your side, worry the least for a powerpack presentation. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. This deck displays creative and professional looking slides of all sorts. Whether you are a member of an assigned team or a designated official on the look out for impacting slides, it caters to every professional field.
This document discusses Data as a Service (DaaS) in cloud computing. It defines DaaS and explains that it allows users to access data stored in the cloud from any location. The document outlines the components, architecture, pricing models, benefits and drawbacks of DaaS. It provides examples of companies that offer DaaS like Google, Windows Azure, and Amazon.
The document provides an overview of high performance scalable data stores, also known as NoSQL systems, that have been introduced to provide faster indexed data storage than relational databases. It discusses key-value stores, document stores, extensible record stores, and relational databases that provide horizontal scaling. The document contrasts several popular NoSQL systems, including Redis, Scalaris, Tokyo Tyrant, Voldemort, Riak, and SimpleDB, focusing on their data models, features, performance, and tradeoffs between consistency and scalability.
Accenture Oracle Business Group: Helping You Become a High Velocity EnterpriseAccenture Technology
The Accenture Oracle Business Group combines Oracle’s broad set of cloud offerings with Accenture’s deep industry, technology and delivery experience to accelerate the next wave of digital transformation. To find out more, visit www.accenture.com/aobg
This document provides an overview of Apache Atlas and how it addresses big data governance issues for enterprises. It discusses how Atlas provides a centralized metadata repository that allows users to understand data across Hadoop components. It also describes how Atlas integrates with Apache Ranger to enable dynamic security policies based on metadata tags. Finally, it outlines new capabilities in upcoming Atlas releases, including cross-component data lineage tracking and a business taxonomy/catalog.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
This document discusses architecting a data lake. It begins by introducing the speaker and topic. It then defines a data lake as a repository that stores enterprise data in its raw format including structured, semi-structured, and unstructured data. The document outlines some key aspects to consider when architecting a data lake such as design, security, data movement, processing, and discovery. It provides an example design and discusses solutions from vendors like AWS, Azure, and GCP. Finally, it includes an example implementation using Azure services for an IoT project that predicts parts failures in trucks.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Data & Analytics ReInvent Recap [AWS Basel Meetup - Jan 2023]Chris Bingham
The document discusses several announcements related to Amazon Web Services (AWS) data and analytics services. Some of the key announcements include:
- Zero-ETL integration between Amazon Aurora and Amazon Redshift to eliminate the need for extract, transform, and load processes between the two services.
- Updates to AWS Glue including new engines, data formats, and support for the Cloud Shuffle Service Plugin for Apache Spark.
- Enhancements to Amazon SageMaker such as automated data preparation using machine learning, geospatial modeling capabilities, and shadow testing for machine learning models.
- New services including Amazon DataZone for data discovery and access across organizations, Amazon Omics for genomic data storage and analysis, and AWS
Big data architectures and the data lakeJames Serra
The document provides an overview of big data architectures and the data lake concept. It discusses why organizations are adopting data lakes to handle increasing data volumes and varieties. The key aspects covered include:
- Defining top-down and bottom-up approaches to data management
- Explaining what a data lake is and how Hadoop can function as the data lake
- Describing how a modern data warehouse combines features of a traditional data warehouse and data lake
- Discussing how federated querying allows data to be accessed across multiple sources
- Highlighting benefits of implementing big data solutions in the cloud
- Comparing shared-nothing, massively parallel processing (MPP) architectures to symmetric multi-processing (
Apache Atlas provides centralized metadata services and cross-component dataset lineage tracking for Hadoop components. It aims to enable transparent, reproducible, auditable and consistent data governance across structured, unstructured, and traditional database systems. The near term roadmap includes dynamic access policy driven by metadata and enhanced Hive integration. Apache Atlas also pursues metadata exchange with non-Hadoop systems and third party vendors through REST APIs and custom reporters.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Micro Focus is uniquely positioned to help customers maximize existing software investments and embrace innovation in a world of hybrid IT—from mainframe to mobile to cloud.
We are one of the largest pure-play software companies in the world, focused from the ground up on building, selling, and supporting software. This focus allows us to deliver on our mission to put customers at the center of innovation and deliver high-quality, enterprise-grade scalable software that our teams can be proud of. We help customers bridge the old and the new by maximizing the ROI on existing software investments and enabling innovation in the new hybrid model for enterprise IT.
We believe that organizations don't need to eliminate the past to make way for the future. Everything we do is based on a simple idea: The quickest, safest way to get results is to build on what you have. Our software does just that. It bridges the gap between existing and emerging technologies—so you can innovate faster, with less risk, in the race to digital transformation.
The document discusses migrating a data warehouse to the Databricks Lakehouse Platform. It outlines why legacy data warehouses are struggling, how the Databricks Platform addresses these issues, and key considerations for modern analytics and data warehousing. The document then provides an overview of the migration methodology, approach, strategies, and key takeaways for moving to a lakehouse on Databricks.
Column-oriented databases store data by column rather than by row. This allows fast retrieval of entire columns of data with one read operation. Column-oriented databases are well-suited for analytical queries that retrieve many rows but only a few columns, as only the needed columns are read from disk. Row-oriented databases are better for transactional queries that retrieve or update individual rows. The type of data storage - row-oriented or column-oriented - depends on the types of queries that will be run against the data.
From Denver based identity and access management vendor Ping Identity comes this presentation explaining how financial services can benefit from identity management solutions.
Cybercrime is about profit and making money. And cybercriminals make money on your data. Whether it’s personally identifiable information, payment or healthcare information, or your intellectual property, your data means money to cybercriminals. Imperva protects cloud applications, websites, web applications, critical databases, files and Big Data repositories from hackers and insider threats—ultimately protecting your data—the one thing that matters most. Haiko Wolberink, AVP Middle East and Africa, Imperva
The Future is Now: What’s New in ForgeRock Access Management ForgeRock
In this webinar, learn how new capabilities in ForgeRock Access Management enable cloud automation for dynamic architectures, dramatically improve security, and ensure future-proofing for in-demand technologies such as DevOps and IoT, making it an ideal choice for securing customer identity and access management (CIAM) deployments for both today and for tomorrow.
The ForgeRock Identity Platform Extends CIAM, Fall 2017 ReleaseForgeRock
Our latest release of the ForgeRock Identity Platform introduces advanced capabilities to help organizations in the areas of privacy and consent management, IoT, security, and customer experience. These new features will enable you to use digital identity to drive business value for your organization.
Cisco Connect 2018 Singapore - delivering intent for data center networkingNetworkCollaborators
The document discusses Cisco's Network Assurance Engine, which uses formal methods and mathematical modeling to continuously verify and validate an entire network to provide confidence that the network is operating as intended. It analyzes all non-packet data across the data center network to identify errors and issues proactively. This helps customers predict the impact of changes, proactively verify network-wide behavior, and assure network security policy and compliance. The tool finds critical issues and potential outages, and provides insights to optimize policies and configurations. It offers quick time to value through an easy deployment and user interface focused on "smart events".
Identity Live Paris 2017 | Monetising Digital Customer RelationshipsForgeRock
By Steve Ferris SVP Global Customer Success, ForgeRock, Alain Barbier Principal Customer Engineer, ForgeRock, Leonard Moustacchis Senior Customer Engineer, ForgeRock
You still need to protect employees in the digital age, but the real opportunity for digital transformation lies in using identity not just to protect employees, but to get to know, interact with, and connect to prospects and customers across any channel–whether cloud, social, mobile, or the Internet of Things (IoT).
Customer Identity Management requires going above and beyond a secure login. From a security perspective, you need continuous security that follows the user throughout their entire session.
And as customers share data, from demographics to preferences to buying habits, you can use it to create authentic, engaging customer experiences that lead to lasting customer relationships. Better yet, you can earn customer trust while meeting privacy regulations like GDPR, by giving customers control over who has access to their data and for how long.
An Operational Data Layer is Critical for Transformative Banking ApplicationsDataStax
Customer expectations are changing fast, while customer-related data is pouring in at an unprecedented rate and volume. Join this webinar, to hear leading experts from DataStax, discuss how DataStax Enterprise, the data management platform trusted by 9 out of the top 15 global banks, enables innovation and industry transformation. They’ll cover how the right data management platform can help break down data silos and modernize old systems of record as an operational data layer that scales to meet the distributed, real-time, always available demands of the enterprise. Register now to learn how the right data management platform allows you to power innovative banking applications, gain instant insight into comprehensive customer interactions, and beat fraud before it happens.
Video: https://youtu.be/319NnKEKJzI
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Verizon: Finance Data Lake implementation as a Self Service Discovery Big Dat...DataWorks Summit
Finance Data Lake objective is to create a centralized enterprise data repository for all Finance and Supply Chain data. It serves as the single source of truth. It enables a self-service discovery Analytics platform for business users to answer adhoc business questions and derive critical insights. The data lake is based on open source Hadoop big data platform and a very cost effective solution in breaking the ERP data silos and simplifying the data architecture in the enterprise.
POCs were conducted on in-house Hortonworks Hadoop data platform to validate the cluster performance for Production volumes. Based on business priorities, an initial roadmap was defined using 3 data sources including 2 SAP ERPs and Peoplesoft (OLTP systems). Development environment was established in AWS Cloud for agile delivery. The near real time data ingestion architecture for the data lake was defined using replication tools and custom SQOOP based micro-batching framework and data persisted in Apache Hive DB in ORC format. Data and user security is implemented using Apache Ranger and sensitive data stored at rest in encryption zones. Business data sets were developed in Hive scripts and scheduled using Oozie. Multiple reporting tools connectivity including SQL tools, Excel and Tableau were enabled for Self-service Analytics. Upon successful implementation of the initial phase, a full roadmap is established to extend the Finance data lake to over 25 data sources and enhance data ingestion to scale as well as enable OLAP tools on Hadoop.
Security On The Edge - A New Way To Think About Securing the Internet of ThingsForgeRock
ForgeRock proposes a new approach for IoT security, where identity principles are used to ensure the authenticity of IoT devices and their communications. We call this upcoming technology, ForgeRock Edge Security. Using secure, standards-based tokens and providing comprehensive, policy-based controls for controlling access to data from devices, this is the next generation of IoT edge security. With examples from industrial and automotive IoT environments, learn how this new way of providing security “on the edge” can provide a rock solid layer of security for your IoT deployments.
BI on Big Data with instant response times at VerizonDataWorks Summit
As one of the world's largest communications companies, Verizon faced the challenge of analyzing all the video viewership data from its 6+ Million viewers to assess a variety of metrics like viewing patterns, popular channels, popular programs, prime time viewership, VOD / DVR consumption etc. Queries would often take hours or even days to run and more to evaluate, resulting in the company only running the analysis periodically. This led to lag times in Verizon's ability to respond to network, content, customer and company problems. Using Kyvos, Verizon was able to build a BI Consumption Layer that helped them analyze this massive data in its entirety, with the ability to slice and dice and drill down to the lowest levels of granularity, with instantaneous response times. Analysis across mediums, viewers, geographies and diagnostics have enabled Verizon to get faster, deeper insights at a more granular level, and optimize their engagement with partners and customers. ARUN JINDE, Technical Architect, Verizon and AJAY ANAND, VP Products, Kyvos Insights
Building a Real-Time Data Platform on AWSInjae Kwak
The document outlines a workshop agenda for building a real-time data platform on AWS. The agenda includes modules on monitoring for operations, clickstream analysis for user activity, and using contact center data to augment user profiles. Each module includes hands-on labs to help attendees learn how to use AWS services like CloudWatch, Kinesis, Elasticsearch, and Lambda to ingest, store, analyze and visualize streaming data.
Getting the most from your API management platform: A case studyRogue Wave Software
API management plays an important role in many large enterprises as it sets up the foundation for accelerating the integration of applications, databases, and key processes to derive business value from your APIs. How do you know if your organization is getting the most value out of your API management platform?
Ian Goldsmith from Rogue Wave for an in-depth discussion of the importance of an enterprise-class API architecture and key considerations to ensure you are getting the most from your API management platform. As well as a case study that demonstrates how one organization uses the Akana API Platform to create a secure, integrated system to mitigate the risks of business on a public cloud network.
GDPR is coming in Hot. Top Burning Questions Answered to Help You Keep Your C...ForgeRock
The document discusses the upcoming EU General Data Protection Regulation (GDPR) which takes effect on May 25, 2018. It addresses common questions about GDPR compliance, including when and where it applies, key definitions, penalties for noncompliance, and individual rights around personal data. It also describes capabilities of the ForgeRock Identity Platform to help organizations comply with GDPR through features for data encryption, consent management, data sovereignty, and privacy dashboard tools.
Cisco Connect 2018 Malaysia - Programmability and telemetry for future networksNetworkCollaborators
The document discusses the growth of global IP traffic driven by increases in mobile data usage. It notes that continual traffic growth is leading to more managed network devices, which significantly increases operational costs for service providers. It also states that human operational errors continue to impact businesses by causing outages, but are avoidable. Cisco's approach to Automated Operations at Scale is presented as a way to help reduce costs and improve quality of experience for customers by automating network operations.
Establish Digital Trust as the Currency of Digital EnterpriseCA Technologies
The document discusses how establishing digital trust can help companies become digital enterprises. It outlines barriers that companies face in areas like ensuring resources, assuring systems, delivering digital experiences, verifying people, and protecting data. The document provides best practices and CA technologies that can help companies optimize their platforms, assure systems through tools like AI and automation, deliver digital experiences through DevSecOps, verify people with identity management, and protect data with discovery tools. Following these practices can help companies transform to digital enterprises by establishing digital trust.
Establish Digital Trust as the Currency of Digital EnterpriseCA Technologies
In this keynote session, hear from Ashok Reddy, GM for CA Mainframe to learn how you can establish digital trust using the power of the new IBM Z and the Modern Software Factory to become a digital enterprise. CIO’s can deliver better economics and TCO. IT operations teams can enable self-driving mainframe data centers to deliver 100% SLA’s. CISO’s and auditors can protect sensitive data to avoid fines tied to GDPR and regulations. Enterprise Architects and Developers can use the same open, modern DevSecOps toolset, mobile-to-mainframe. And, get a sneak peek at new innovations: Mainframe as a Service and Blockchain which can put you in the driver’s seat to transform the way your company does business. Joining Ashok will be key leaders from IBM, General Motors, and Southwest Gas who will share their perspectives on digital transformation.
For more information: http://ow.ly/E3lM50fO0MW
What does it take to break out of an IoT Proof of Concept and deploy an enterprise grade IoT Solution? This slideshare is an extract from a live talk presented by Bridgera.
La seguridad en la nube de AWS es la mayor prioridad. Como cliente de AWS, se beneficiará de una arquitectura de red y un centro de datos diseñados para satisfacer los requisitos de seguridad de las organizaciones más exigentes.
Una ventaja de la nube de AWS es que permite a los clientes escalar e innovar al mismo tiempo que garantizan la seguridad del entorno. Los clientes solo pagan por los servicios que usan, es decir, que puede gozar de la seguridad que necesite sin tener que realizar pagos iniciales y a un costo inferior que el de un entorno on-premise.
https://aws.amazon.com/es/security/
The document discusses challenges facing today's enterprises such as cutting costs, driving value with tight budgets, maintaining security while increasing access, and finding the right transformative capabilities. It then discusses challenges in building applications related to scaling, availability, and costs. The remainder summarizes Microsoft's Windows Azure cloud computing platform, how it addresses these challenges, example use cases, and pricing models.
CNCF Online - Data Protection Guardrails using Open Policy Agent (OPA).pdfLibbySchulze
The document discusses a presentation by Joey Lei and Anders Eknert on data protection guardrails using Open Policy Agent (OPA). It provides background on the speakers and an overview of OPA, including how it works, the Rego policy language, and OPA's open source community. It then discusses how data protection policies can be enforced as code using OPA to provide guardrails for infrastructure-as-code deployments and prevent misconfigurations that could compromise availability, integrity or confidentiality of data. Examples of policy checks for recovery objectives, retention, backup strategies and exfiltration protection are provided.
In this slide deck we explore how Choreo - an AI-native internal developer platform as a service - accelerates modernization with best practices. https://wso2.com/choreo
Application Modernization with Choreo for the BFSI SectorWSO2
In this slide deck, we explore the application modernization challenges in the BFSI industry and how Choreo - an AI-native internal developer platform as a service - can help in the modernization journey.
Choreo - The AI-Native Internal Developer Platform as a Service: OverviewWSO2
This deck takes you through the need for an internal developer platform and introduces Choreo which provides platform and software engineers with an as a service solution to deliver applications faster and at scale.
WSO2Con 2025 - Building AI Applications in the Enterprise (Part 1)WSO2
Building AI applications for the enterprise requires understanding key architectural patterns that enable powerful, scalable, and intelligent solutions. This session explores the core approaches to building AI-driven applications, including Generative AI, Retrieval-Augmented Generation (RAG), and AI Agents.
We’ll dive into how to build and integrate AI apps, discover and connect them with enterprise tools, and manage authentication and authorization securely. Additionally, we’ll cover best practices for deploying AI-powered applications and how an AI Gateway can help monitor, secure, and optimize interactions between AI models, agents, and enterprise systems.
WSO2Con 2025 - Building Secure Business Customer and Partner Experience (B2B)...WSO2
Building modern B2B applications requires addressing complex identity and access management needs, from seamless onboarding to managing organizational hierarchies and user relationships. This session dives into the challenges of developing B2B apps and showcases how WSO2 B2B CIAM solutions can simplify and enhance these aspects.
We’ll explore key concepts such as organizational modeling, hierarchical structures, and organization onboarding strategies. You’ll learn how to design secure user login experiences, implement "Bring Your Own Identity Provider" (BYO IdP) functionality, and connect users seamlessly to their organizations.
The session will also provide a preview of WSO2 IAM roadmap for B2B applications, highlighting upcoming features designed to address evolving business challenges.
WSO2Con 2025 - Building Secure Customer Experience AppsWSO2
Creating exceptional customer experiences is essential in today’s digital-first world. This lab session explores building secure, personalized, and innovative customer experience apps using the WSO2 CIAM suite. We will dive into hands-on techniques for building customer experience apps using the Asgardeo SDKs, designing secure user sign-up, and login experiences using AI-driven features like Login Flow AI and Branding AI. We’ll also demonstrate how to apply MFA, passwordless, adaptive authentication, and protecting high-value APIs.
This session will include a sneak peek at the WSO2 IAM roadmap and how its evolving capabilities can empower you to stay ahead in the competitive landscape.
WSO2Con 2025 - AI-Driven API Design, Development, and Consumption with Enhanc...WSO2
Most business operations, be it selling a product online, launching a marketing campaign, purchasing equipment, or hiring a person, may involve multiple business units, systems and external parties. Combining all such relevant entities into a single automated flow is crucial for smooth and efficient operations. Due to the large number of systems used in enterprises and the availability of many business operations, a typical organization would have to put an enormous effort into automating business operations. Therefore, simplifying the integration experience is a critical requirement for any organization. In this context, this session examines the use of the WSO2 Integrator for simplifying development of integration flows, by utilizing features such as low-code and pro-code development, AI-assisted development, data mapping, and built-in connectors.
WSO2Con 2025 - AI-Driven API Design, Development, and Consumption with Enhanc...WSO2
As APIs continue to evolve, AI is transforming how they are designed, consumed, and governed. By integrating AI-driven capabilities, organizations can streamline workflows, enhance automation, and ensure compliance—making API management more intelligent, efficient, and adaptive.
This session explores how AI can be applied across the API lifecycle, from intelligent design recommendations to optimizing consumption patterns and enforcing governance policies. Through real-world examples, we will demonstrate how AI enhances API interactions, automates compliance, strengthens security, and integrates seamlessly with development workflows.
By the end of this session, attendees will gain valuable insights into leveraging AI for API management, balancing automation with governance, and building smarter, more secure API ecosystems. Whether you're an API developer, architect, or platform engineer, this session will provide practical strategies for the future of AI-enhanced API management.
WSO2Con 2025 - Unified Management of Ingress and Egress Across Multiple API G...WSO2
In today’s multi-cloud, multi-gateway world, organizations struggle to apply consistent governance across all their APIs—both ingress APIs exposed to consumers and egress APIs calling external services like AI platforms and SaaS applications. This hands-on lab shows you how to solve that with a unified control plane that manages API gateways across environments, including Kubernetes, universal, immutable, and federated gateways (AWS, Solace).
You’ll see how a pluggable agent framework makes it easy to onboard any gateway supporting Kubernetes Gateway API, and how to enforce policies, observability, and analytics consistently across all your traffic—inbound and outbound. The lab will also dive deep into AI egress governance, showcasing features like model routing, prompt templating, semantic caching, and AI guardrails when connecting to OpenAI, Azure OpenAI, and Mistral.
If you’re looking for a future-proof way to manage all your APIs across diverse platforms, environments, and use cases—this is the session for you.
WSO2Con 2025 - How an Internal Developer Platform Lets Developers Focus on CodeWSO2
Cloud-native development often involves setting up infrastructure, managing security, and integrating services—tasks that take time away from coding. An internal developer platform (IDP) streamlines these complexities, enabling developers to focus on building business logic.
This lab demonstrates how an IDP supports a hybrid development approach, where developers run some components locally while consuming cloud services seamlessly. Instead of manually configuring databases, authentication, or API gateways, they leverage platform capabilities for rapid iteration.
We’ll walk through a real-world scenario where a developer:
Onboards quickly with an architect-defined application structure.
Develops in a hybrid environment, consuming cloud APIs, databases, and AI services while iterating locally.
Uses Choreo-managed authentication without dealing with OAuth2 intricacies.
Discovers and reuses microservices and APIs instead of rebuilding them.
Debugs efficiently without deploying all dependencies locally.
Ensures security and compliance automatically, catching vulnerabilities early.
By the end, you’ll see how an IDP accelerates onboarding, enhances security, and simplifies cloud-native development—so developers can focus on building great applications instead of managing infrastructure.
As enterprises modernise their technology stacks, designing platform-agnostic, scalable, and well-governed cloud-native architectures is essential for long-term success. This lab session will explore how to apply the platformless concept to build cloud-native applications that offer flexibility, portability, and resilience across diverse cloud environments.
Through guided discussions and real-world insights, we will examine key architectural patterns, including microservices, API gateways, and Kubernetes orchestration, while addressing critical aspects such as scalability, governance, and operational efficiency.
Join us to exchange ideas, refine best practices, and explore strategies for architecting cloud-native applications that are future-proof, scalable, and effectively governed.
Mastering Intelligent Digital Experiences with Platformless ModernizationWSO2
In today’s fast-evolving technological landscape, modernization isn’t just about upgrading systems—it’s about rethinking how organizations create value by delivering exceptional digital experiences. Platformless Modernization takes a revolutionary approach, focusing on outcomes rather than infrastructure, enabling businesses to remain agile, scalable, and competitive.
Tailored for IT leaders who are driving strategy, this slide deck explores how Platformless Modernization leverages cloud-native and AI-driven practices to simplify complexity, enhance adaptability, and accelerate value delivery. Through a blend of technical insights and strategic frameworks, you’ll gain actionable tools and methods to align modernization efforts with your organization’s business goals.
Key Takeaways:
Strategic Approaches: Understand how Platformless Modernization aligns IT strategy with business outcomes, ensuring every initiative drives measurable value.
Simplified Complexity: Learn how platformless approaches eliminate the overhead of managing infrastructure while enabling rapid solution delivery.
Cloud-Native and AI Practices: Explore patterns and tools that leverage cloud-native architectures and AI-driven intelligence to enhance scalability and adaptability.
Future-Proofing IT Investments: Discover how to build architectures designed to evolve with changing market dynamics and technology trends.
Agile Innovation: Gain insights into creating a culture and processes that foster continuous improvement and innovation in IT delivery.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformWSO2
At its core, the challenge of managing Human Resources data is an integration challenge: estimates range from 2-3 HR systems in use at a typical SMB, up to a few dozen systems implemented amongst enterprise HR departments, and these systems seldom integrate seamlessly between themselves. Providing a multi-tenant, cloud-native solution to integrate these hundreds of HR-related systems, normalize their disparate data models and then render that consolidated information for stakeholder decision making has been a substantial undertaking, but one significantly eased by leveraging Ballerina. In this session, we’ll cover:
The overall software architecture for VHR’s Cloud Data Platform
Critical decision points leading to adoption of Ballerina for the CDP
Ballerina’s role in multiple evolutionary steps to the current architecture
Roadmap for the CDP architecture and plans for Ballerina
WSO2’s partnership in bringing continual success for the CD
The integration landscape is changing rapidly with the introduction of technologies like GraphQL, gRPC, stream processing, iPaaS, and platformless. However, not all existing applications and industries can keep up with these new technologies. Certain industries, like manufacturing, logistics, and finance, still rely on well-established EDI-based message formats. Some applications use XML or CSV with file-based communications, while others have strict on premises deployment requirements. This talk focuses on how Ballerina's built-in integration capabilities can bridge the gap between "old" and "new" technologies, modernizing enterprise applications without disrupting business operations.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.