The new PaaS solution in Oracle Public Cloud extends the real-time data replication from on-premises to cloud, and leads the innovation of real-time data movement with the powerful data streaming capability for enterprise solutions.
Oracle provides a comprehensive cloud infrastructure platform with compute, storage, networking and database services. Key features include fast NVMe SSD storage both locally and network attached, high performance bare metal and VM instances with GPU and AMD EPYC options, autonomous database services, and advanced networking capabilities like low latency and RDMA. Oracle's regional architecture and dedicated fast interconnects enable high availability across availability domains and regions.
Modern data management using Kappa and streaming architectures, including discussion by EBay's Connie Yang about the Rheos platform and the use of Oracle GoldenGate, Kafka, Flink, etc.
The document provides an overview of Oracle's converged systems approach. It discusses Oracle's engineered systems like Exadata, Exalogic, Big Data Appliance which are designed to work together. It notes that these systems provide benefits like extreme performance, lower costs, reduced risk, and faster deployment times. The document also discusses Oracle's approach to private and public cloud infrastructure and how customers can deploy Oracle cloud services either on-premises or in Oracle's data centers.
This document discusses how Oracle GoldenGate was used to enable a zero downtime migration and upgrade project for a client. GoldenGate captured changes in the source database and kept the new database synchronized during the migration process. This allowed the application to switch over to the new database with no disruption to availability within the limited maintenance window. By implementing a generic procedure, GoldenGate provided a solution that could be reused for other migration projects, improving high availability and disaster recovery capabilities overall.
This document discusses Oracle Database 19c and the concept of a converged database. It begins with an overview of new features in Oracle Database 19c, including direct upgrade paths, new in-memory capabilities, and improvements to multitenant architecture. It then discusses the concept of a converged database that can support multiple data types and workloads within a single database compared to using separate single-purpose databases. The document argues that a converged database approach avoids issues with data consistency, security, availability and manageability between separate databases. It notes Oracle Database's support for transactions, analytics, machine learning, IoT and other workloads within a single database. The document concludes with an overview of Oracle Database Performance Health Checks.
Cloud Innovation Day - Commonwealth of PA v11.3Eric Rice
Enhance and accelerate your path to digital innovation and transformation with IBM Cloud. Develop a roadmap to get started with cloud and incorporate best practices from other organizations just like yours.
The document discusses Oracle's Database Options Initiative and how it can help organizations address challenges in a post-pandemic world. It outlines bundles focused on security & risk resilience, operational resiliency, cost optimization, and performance & agility. Each bundle contains various Oracle database products and capabilities designed to provide benefits like reduced costs, increased availability, faster performance, and enhanced security. The document also provides information on specific products and how they address needs such as disaster recovery, data protection, database management, and query optimization.
Oracle announced new autonomous database and cyber security technologies powered by machine learning. The autonomous database can instantly patch itself while running with no downtime. It is fully automated and eliminates human labor for management. Oracle also announced a new highly automated cyber security technology that can detect and block attacks in near real-time by working with the autonomous database. Demos showed Oracle autonomous database outperforming Amazon Redshift and Oracle databases on Amazon cloud on real customer workloads, while being significantly less expensive.
During the second half of 2016, IBM built a state of the art Hadoop cluster with the aim of running massive scale workloads. The amount of data available to derive insights continues to grow exponentially in this increasingly connected era, resulting in larger and larger data lakes year after year. SQL remains one of the most commonly used languages used to perform such analysis, but how do today’s SQL-over-Hadoop engines stack up to real BIG data? To find out, we decided to run a derivative of the popular TPC-DS benchmark using a 100 TB dataset, which stresses both the performance and SQL support of data warehousing solutions! Over the course of the project, we encountered a number of challenges such as poor query execution plans, uneven distribution of work, out of memory errors, and more. Join this session to learn how we tackled such challenges and the type of tuning that was required to the various layers in the Hadoop stack (including HDFS, YARN, and Spark) to run SQL-on-Hadoop engines such as Spark SQL 2.0 and IBM Big SQL at scale!
Speaker
Simon Harris, Cognitive Analytics, IBM Research
Replacing Oracle CDC with Oracle GoldenGateStewart Bryson
The Oracle documentation states that Oracle Change Data Capture (CDC) will be de-supported in the future and replaced with Oracle GoldenGate (OGG). So are we justified in assuming that OGG provides all the necessary features to actually replace CDC?
In this presentation, we will examine CDC and it's application in real-time BI solutions and data warehouses. We will also have a look at the feature set of OGG and decide whether it is a suitable replacement for CDC for all of these applications. When gaps in the product are identified -- such as lack of support for subscription groups -- we will see techniques that can be used to bridge those gaps without sacrificing the performance and scalability of OGG.
Oracle GoldenGate is the leading real-time data integration software provider in the industry - customers include 3 of the top 5 commercial banks, 3 of the top 3 busiest ATM networks, and 4 of the top 5 telecommunications providers.
Oracle GoldenGate moves transactional data in real-time across heterogeneous database, hardware and operating systems with minimal impact. The software platform captures, routes, and delivers data in real time, enabling organizations to maintain continuous uptime for critical applications during planned and unplanned outages.
Additionally, it moves data from transaction processing environments to read-only reporting databases and analytical applications for accurate, timely reporting and improved business intelligence for the enterprise.
Scaling with the Cloud: Strategies for Storage in Cloud DeploymentsWalter Moriconi
The document discusses strategies for storage in cloud deployments. It notes that cloud deployments create storage challenges related to multi-tenancy, availability, manageability, scalability, and elasticity. It proposes using application-aware storage with quality of service guarantees to address these challenges. Oracle storage solutions like the Oracle Sun ZFS Storage Appliance are presented as options to provide multi-tenancy, scalability, agility, observability, and high availability suited for cloud environments.
Open innovation and collaboration between IBM and other technology companies is fueling advances in cloud computing, big data analytics, and software development. This includes contributions to open source projects like Linux as well as partnerships through organizations like the OpenPOWER Foundation. New systems based on IBM's Power architecture and optimized for Linux are helping customers improve the performance and efficiency of their analytics, database, and application workloads.
The document discusses Oracle's data integration products and big data solutions. It outlines five core capabilities of Oracle's data integration platform, including data availability, data movement, data transformation, data governance, and streaming data. It then describes eight core products that address real-time and streaming integration, ELT integration, data preparation, streaming analytics, dataflow ML, metadata management, data quality, and more. The document also outlines five cloud solutions for data integration including data migrations, data warehouse integration, development and test environments, high availability, and heterogeneous cloud. Finally, it discusses pragmatic big data solutions for data ingestion, transformations, governance, connectors, and streaming big data.
Oracle Big Data Appliance and Big Data SQL for advanced analyticsjdijcks
Overview presentation showing Oracle Big Data Appliance and Oracle Big Data SQL in combination with why this really matters. Big Data SQL brings you the unique ability to analyze data across the entire spectrum of system, NoSQL, Hadoop and Oracle Database.
Insights into Real-world Data Management ChallengesDataWorks Summit
Oracle began with the belief that the foundation of IT was managing information. The Oracle Cloud Platform for Big Data is a natural extension of our belief in the power of data. Oracle’s Integrated Cloud is one cloud for the entire business, meeting everyone’s needs. It’s about Connecting people to information through tools which help you combine and aggregate data from any source.
This session will explore how organizations can transition to the cloud by delivering fully managed and elastic Hadoop and Real-time Streaming cloud services to built robust offerings that provide measurable value to the business. We will explore key data management trends and dive deeper into pain points we are hearing about from our customer base.
This document discusses how engineered systems from Oracle can help reduce total cost of ownership (TCO) compared to standalone/individual components. It presents Oracle's Database Appliance, Exadata, Exalogic, and SuperCluster engineered systems, which integrate hardware and software to improve performance, manageability and reduce costs. These systems offer benefits like simplified deployment, administration and support, higher resource utilization, and lower licensing and hardware costs over time.
IBM Power Systems is designed for cognitive era workloads involving big data and analytics. It provides cloud delivery via hyperscale or hybrid cloud with improved economics. The platform is open and collaborative, enabling cognitive business and cloud economics through Linux and other open technologies. Power Systems is optimized for business applications and represents over 60% of the Unix market.
Oracle Cloud : Big Data Use Cases and ArchitectureRiccardo Romani
Oracle Itay Systems Presales Team presents : Big Data in any flavor, on-prem, public cloud and cloud at customer.
Presentation done at Digital Transformation event - February 2017
Oracle Cloud Infrastructure (OCI) provides Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) through a global network of 29 regions. OCI offers high-performance computing resources, storage, networking, security, and edge services to support traditional and cloud-native workloads. Pricing for OCI is consistently lower than other major cloud providers for equivalent services, with flexible payment models and usage-based pricing.
The document discusses Oracle's Storage Cloud Service and Database Backup Cloud Service. It provides an overview of the services, including key features such as replication, access controls, and REST APIs. Examples are given for interacting with the services through tools like OpenStack clients, Python Swiftclient, and cURL. Use cases mentioned include backup, archive, and replacing tape backups.
Oracle Data Integration overview, vision and roadmap. Covers GoldenGate, Data Integrator (ODI), Data Quality (EDQ), Metadata Management (MM) and Big Data Preparation (BDP)
This document provides an overview of using Node.js for backend integration. It discusses how Node.js uses a single thread model with asynchronous and non-blocking I/O to provide high performance. Common Node.js frameworks like Express and Hapi are presented. The document also covers integrating Node.js with databases like Oracle NoSQL and MongoDB using modules like node-oracledb and mongoose. It provides examples of calling PL/SQL functions and using connection pooling with Node.js and Oracle Database. Finally, it introduces Application Container Cloud as providing capabilities beyond what Node.js alone offers like high availability, management, and support.
Oracle announced new autonomous database and cyber security technologies powered by machine learning. The autonomous database can instantly patch itself while running with no downtime. It is fully automated and eliminates human labor for management. Oracle also announced a new highly automated cyber security technology that can detect and block attacks in near real-time by working with the autonomous database. Demos showed Oracle autonomous database outperforming Amazon Redshift and Oracle databases on Amazon cloud on real customer workloads, while being significantly less expensive.
During the second half of 2016, IBM built a state of the art Hadoop cluster with the aim of running massive scale workloads. The amount of data available to derive insights continues to grow exponentially in this increasingly connected era, resulting in larger and larger data lakes year after year. SQL remains one of the most commonly used languages used to perform such analysis, but how do today’s SQL-over-Hadoop engines stack up to real BIG data? To find out, we decided to run a derivative of the popular TPC-DS benchmark using a 100 TB dataset, which stresses both the performance and SQL support of data warehousing solutions! Over the course of the project, we encountered a number of challenges such as poor query execution plans, uneven distribution of work, out of memory errors, and more. Join this session to learn how we tackled such challenges and the type of tuning that was required to the various layers in the Hadoop stack (including HDFS, YARN, and Spark) to run SQL-on-Hadoop engines such as Spark SQL 2.0 and IBM Big SQL at scale!
Speaker
Simon Harris, Cognitive Analytics, IBM Research
Replacing Oracle CDC with Oracle GoldenGateStewart Bryson
The Oracle documentation states that Oracle Change Data Capture (CDC) will be de-supported in the future and replaced with Oracle GoldenGate (OGG). So are we justified in assuming that OGG provides all the necessary features to actually replace CDC?
In this presentation, we will examine CDC and it's application in real-time BI solutions and data warehouses. We will also have a look at the feature set of OGG and decide whether it is a suitable replacement for CDC for all of these applications. When gaps in the product are identified -- such as lack of support for subscription groups -- we will see techniques that can be used to bridge those gaps without sacrificing the performance and scalability of OGG.
Oracle GoldenGate is the leading real-time data integration software provider in the industry - customers include 3 of the top 5 commercial banks, 3 of the top 3 busiest ATM networks, and 4 of the top 5 telecommunications providers.
Oracle GoldenGate moves transactional data in real-time across heterogeneous database, hardware and operating systems with minimal impact. The software platform captures, routes, and delivers data in real time, enabling organizations to maintain continuous uptime for critical applications during planned and unplanned outages.
Additionally, it moves data from transaction processing environments to read-only reporting databases and analytical applications for accurate, timely reporting and improved business intelligence for the enterprise.
Scaling with the Cloud: Strategies for Storage in Cloud DeploymentsWalter Moriconi
The document discusses strategies for storage in cloud deployments. It notes that cloud deployments create storage challenges related to multi-tenancy, availability, manageability, scalability, and elasticity. It proposes using application-aware storage with quality of service guarantees to address these challenges. Oracle storage solutions like the Oracle Sun ZFS Storage Appliance are presented as options to provide multi-tenancy, scalability, agility, observability, and high availability suited for cloud environments.
Open innovation and collaboration between IBM and other technology companies is fueling advances in cloud computing, big data analytics, and software development. This includes contributions to open source projects like Linux as well as partnerships through organizations like the OpenPOWER Foundation. New systems based on IBM's Power architecture and optimized for Linux are helping customers improve the performance and efficiency of their analytics, database, and application workloads.
The document discusses Oracle's data integration products and big data solutions. It outlines five core capabilities of Oracle's data integration platform, including data availability, data movement, data transformation, data governance, and streaming data. It then describes eight core products that address real-time and streaming integration, ELT integration, data preparation, streaming analytics, dataflow ML, metadata management, data quality, and more. The document also outlines five cloud solutions for data integration including data migrations, data warehouse integration, development and test environments, high availability, and heterogeneous cloud. Finally, it discusses pragmatic big data solutions for data ingestion, transformations, governance, connectors, and streaming big data.
Oracle Big Data Appliance and Big Data SQL for advanced analyticsjdijcks
Overview presentation showing Oracle Big Data Appliance and Oracle Big Data SQL in combination with why this really matters. Big Data SQL brings you the unique ability to analyze data across the entire spectrum of system, NoSQL, Hadoop and Oracle Database.
Insights into Real-world Data Management ChallengesDataWorks Summit
Oracle began with the belief that the foundation of IT was managing information. The Oracle Cloud Platform for Big Data is a natural extension of our belief in the power of data. Oracle’s Integrated Cloud is one cloud for the entire business, meeting everyone’s needs. It’s about Connecting people to information through tools which help you combine and aggregate data from any source.
This session will explore how organizations can transition to the cloud by delivering fully managed and elastic Hadoop and Real-time Streaming cloud services to built robust offerings that provide measurable value to the business. We will explore key data management trends and dive deeper into pain points we are hearing about from our customer base.
This document discusses how engineered systems from Oracle can help reduce total cost of ownership (TCO) compared to standalone/individual components. It presents Oracle's Database Appliance, Exadata, Exalogic, and SuperCluster engineered systems, which integrate hardware and software to improve performance, manageability and reduce costs. These systems offer benefits like simplified deployment, administration and support, higher resource utilization, and lower licensing and hardware costs over time.
IBM Power Systems is designed for cognitive era workloads involving big data and analytics. It provides cloud delivery via hyperscale or hybrid cloud with improved economics. The platform is open and collaborative, enabling cognitive business and cloud economics through Linux and other open technologies. Power Systems is optimized for business applications and represents over 60% of the Unix market.
Oracle Cloud : Big Data Use Cases and ArchitectureRiccardo Romani
Oracle Itay Systems Presales Team presents : Big Data in any flavor, on-prem, public cloud and cloud at customer.
Presentation done at Digital Transformation event - February 2017
Oracle Cloud Infrastructure (OCI) provides Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) through a global network of 29 regions. OCI offers high-performance computing resources, storage, networking, security, and edge services to support traditional and cloud-native workloads. Pricing for OCI is consistently lower than other major cloud providers for equivalent services, with flexible payment models and usage-based pricing.
The document discusses Oracle's Storage Cloud Service and Database Backup Cloud Service. It provides an overview of the services, including key features such as replication, access controls, and REST APIs. Examples are given for interacting with the services through tools like OpenStack clients, Python Swiftclient, and cURL. Use cases mentioned include backup, archive, and replacing tape backups.
Oracle Data Integration overview, vision and roadmap. Covers GoldenGate, Data Integrator (ODI), Data Quality (EDQ), Metadata Management (MM) and Big Data Preparation (BDP)
This document provides an overview of using Node.js for backend integration. It discusses how Node.js uses a single thread model with asynchronous and non-blocking I/O to provide high performance. Common Node.js frameworks like Express and Hapi are presented. The document also covers integrating Node.js with databases like Oracle NoSQL and MongoDB using modules like node-oracledb and mongoose. It provides examples of calling PL/SQL functions and using connection pooling with Node.js and Oracle Database. Finally, it introduces Application Container Cloud as providing capabilities beyond what Node.js alone offers like high availability, management, and support.
The document discusses Oracle's efforts to transform its business through innovation in cloud technologies. It summarizes Oracle's strategy to create the most complete set of cloud services in the industry, design them for business success, and enable coexistence as customers transition to the cloud. The focus of Oracle's transformation is now on how it sells to and cares for customers, with the goal of delivering accelerated and simplified purchasing, highly engaging customer experiences, and superior customer ownership experiences that drive success and lifelong partnerships.
This document discusses using data virtualization to accelerate application projects by 50%. It outlines some common problems with physical data copies, such as bottlenecks, bugs due to old data, difficulty creating subsets, and delays. The document then introduces the concept of using a data virtualization appliance to take snapshots of production data and create thin clones for development and testing environments. This allows for fast, full-sized, self-service clones that can be refreshed quickly. Use cases discussed include improved development and testing workflows, faster production support like recovery and migration, and enabling continuous business intelligence functions.
Cloud computing in Thailand readiness surveyIMC Institute
The document summarizes the key findings of a survey conducted by IMC Institute on cloud computing readiness in Thailand. The survey polled 177 executives from government and private organizations. It found that over half of respondents have already adopted or plan to adopt private cloud, and many expressed interest in public cloud, especially IaaS and SaaS. Currently, the Thai public cloud market is dominated by international providers and organizations primarily use cloud for email, office/desktop, and storage services. While organizations recognize cost and flexibility benefits, security concerns, lack of in-house expertise, and non-supportive regulations remain top barriers to greater adoption.
Today there is tremendous pressure on organizations to improve customer service and supply chain efficiency while reducing IT costs. Moving applications to the cloud is an attractive option and is receiving a lot of attention.
Many organizations hear a lot about the cloud and its value but are unsure of what it truly means. The Capgemini Cloud Readiness Assessment provides a roadmap to guide customers on their cloud journey and helps them answer the following questions:
• What is the value to the organization of migrating to the cloud?
• What is the cost and the timeline to move to the cloud?
• What is the organization’s specific migration path to the cloud model?
• Which best practices should the organization adopt?
Presented by Jon Lundstedt, Oracle Cloud Market Development Executive, Capgemini, at Oracle OpenWorld 2016.
Implementing Enterprise API Management in Oracle CloudCapgemini
API-led connectivity has become the main mechanism to integrate with software-as-a-service applications. Mobile applications, modern web applications, and the Internet of Things also need APIs. In Oracle Cloud, there are at least six cloud services offering a solution for APIs (five of which are Oracle Mobile Cloud Service, Oracle API Manager Cloud Service, Oracle API Catalog Cloud Service, Oracle Internet of Things Cloud Service, and Oracle Integration Cloud Service).
This presentation describes what an enterprise-wide API management solution looks like, elaborates on a solid API taxonomy, and then shows how to position each of the mentioned cloud services to deliver an end-to-end API management solution in Oracle Cloud that is also capable of handling hybrid cloud use cases.
Presented by Luis Weir, Principal, Oracle Ace Director, Capgemini, at Oracle OpenWorld 2016.
Introduction to Data Science: presented by Dr. Sotarat Thammaboosadee, ITM Mahidol and Datalent Team. This presentation is a part of Data Science Clinic no.9 organized by Data Science Thailand, 8 March 2017 at All Season Place, Bangkok, Thailand.
This document discusses moving legacy environments to a hybrid cloud model. It begins with an introduction and agenda. It then covers the hybrid cloud architecture, including using Oracle Enterprise Manager for single pane of glass management across on-premise and cloud infrastructure. Implementation involves a roadmap and prioritizing which platforms are cloud-ready. Operation focuses on areas like organization structure, management processes, patching, and adopting DevOps practices. The overall goal is to leverage public cloud capacity while maintaining existing on-premise investments for a flexible, cost-effective hybrid solution.
Accelerate Design and Development of Data Projects Using AWSDelphix
The document discusses accelerating data projects using AWS and Delphix. It describes how Dentegra uses Delphix on AWS to increase data agility and protection. Delphix allows Dentegra to provision development environments faster by masking and replicating only changed data from production to AWS. This reduces storage costs and speeds up application development cycles. The document also outlines benefits of AWS for data migration such as scalability, security, and cost effectiveness.
- Oracle provides cloud computing services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) across its global data centers.
- It manages over 83,000 virtual machines and 1,075 petabytes of total storage for over 25,000 customers across 175 countries.
- Oracle's cloud services include computing, storage, networking, analytics, applications and more which customers can access via Oracle's public cloud, private cloud at customer data centers, or hybrid models.
Part 2: Cloudera’s Operational Database: Unlocking New Benefits in the CloudCloudera, Inc.
3 Things to Learn About:
*On-premises versus the cloud
*Design & benefits of real-time operational data in the cloud
*Best practices and architectural considerations
Proposte ORACLE per la gestione dei contenuti digitali e per la ricerca scien...Jürgen Ambrosi
Agenda
gli obiettivi della collaborazione Oracle / CRUI; overview delle soluzioni proposte
l’evoluzione dell’offerta Oracle, on prem e in Cloud
certificazione CSP Agid e modello di pricing su Cloud
le soluzioni per la Comunicazione “Digital” (prodotti, servizi e formazione)
Redazione collaborativa e gestione dei contenuti digitali; integrazione con strumenti di produttività come Office365 e Google
Sviluppo rapido e self-service di micrositi e API per front-end digitali
Assistenti Digitali
le soluzioni per la Ricerca Scientifica e l’Innovazione tecnologica
Il Cloud Oracle per l’HPC
soluzioni on-premise e Cloud per BigData e Data Science / Deep Learning
soluzioni in Cloud per IoT, Blockchain
Survey
Q/A
Best practices for application migration to public clouds interop presentationesebeus
Best Practices for Application Migration to Public Clouds
Talk given at Interop May, 2013.
Whether you are thinking of migrating 1 application or 8000 applications to the cloud, the odds of success increase if best practices are followed. Do you know what those best practices are?
As hustler Mike McDermott said in the 1998 poker movie Rounders, “If you can't spot the sucker in the first half hour at the table, then you ARE the sucker.”
Anyone with a credit card can sit at the table of trying to move applications to public clouds. Those who want to succeed, study and learn from consistent winners. There are some hands to fold, some to play cautiously, and some to play aggressively.
This session covered best practices from helping 15 Fortune 1000 companies successfully migrate to cloud solutions.
Who should attend?
Anyone who wants to improve their odds of successfully migrating applications to public clouds.
Key Takeaways
• What are the key business considerations to address prior to migration?
• Which application workloads are suitable for public clouds?
• Which applications to replatform? Which to refactor?
• What are key considerations for replatforming and refactoring?
• What are key cloud application design concepts?
Analyze key aspects to be considered before embarking on your cloud journey. The presentation outlines the strategies, approach, and choices that need to be made, to ensure a smooth transition to the cloud.
Oracle GoldenGate Roadmap Oracle OpenWorld 2020 Thomas Vengal
The document provides an agenda and overview for an Oracle event on GoldenGate. It discusses GoldenGate use cases, features for databases and big data, and streaming analytics. It also summarizes new capabilities in GoldenGate 19.1 like improved performance, security and manageability for microservices, and support for Oracle Database 19c. The document outlines Oracle's vision of GoldenGate as a real-time data fabric ecosystem enabling streaming, databases, cloud, and big data use cases.
The migration of legacy applications and databases to the cloud is always a challenging activity. However, with the right strategy and meticulous execution, workload migration can be made seamless.
At CCS Technologies, we manage all technical, service, and commercial aspects of migrating your legacy systems to the cloud. Our team of experts offers guidance on suitable migration strategies for moving data and applications from on-premise to the cloud, or for moving from one cloud service provider to another. We take care of every aspect of migration and leave you with a hassle-free optimized setup on the cloud with zero downtime.
Know more: https://ccs-technologies.com/infra-cloud-services/#ics_cs
Organisation Cloud Migration For Core Business Application On OCI CloudRohan Singh
This presentation provides a comprehensive guide to designing a fault-tolerant, resilient, high-availability (HA), and disaster recovery (DR) architecture on the Oracle Cloud Platform.
What You’ll Gain:
✔️ A detailed use case demonstrating the seamless migration of on-premises infrastructure to Oracle Cloud.
✔️ Best practices for resilient, scalable, and cost-optimized cloud solutions.
✔️ Insights into architectural design, HA & DR strategies, and security considerations.
✔️ A valuable resource for those preparing for Solution Architect interviews or planning cloud migration & cost optimization strategies.
Whether you're an IT leader, cloud architect, or DevOps professional, this presentation equips you with the strategic and technical knowledge needed to build and optimize enterprise-grade cloud infrastructure.
The OCI capabilities has a long story to tell! Leverage OCI by moving your apps to cloud and accelerate your digital transformation towards a cost-effective, innovative and a high performing infrastructure. Dive into the details now.
[CON6985]Expanding DBaaS Beyond Data Centers Hybrid Cloud Onboarding via Orac...Bharat Paliwal
This document discusses using Oracle Enterprise Manager to manage hybrid cloud environments with Oracle Cloud. It outlines the key capabilities including planning workload migrations, migrating workloads securely to the cloud, and operating hybrid environments at scale with unified monitoring, lifecycle management, and self-service capabilities extended to Oracle Cloud. The document also discusses capabilities like automated synchronization between on-premises Enterprise Manager and Oracle Cloud, data cloning and refresh across clouds, and unveils upcoming support for managing Oracle Database Cloud Service via Enterprise Manager.
Proposte ORACLE per la modernizzazione del Datacenter e delle infrastrutture ITJürgen Ambrosi
Argomenti trattati nella sessione:
• gli obiettivi della collaborazione Oracle / CRUI; overview delle soluzioni proposte.
• l’evoluzione dell’offerta Oracle, on prem e in Cloud
• certificazione CSP Agid e modello di pricing su Cloud
• le soluzioni per la modernizzazione delle Infrastrutture IT (prodotti, servizi e formazione)
• efficientamento dei Database Oracle
• Appliances per il Database (ODA) e per BigData
• Offloading di workload su Cloud Oracle
• Storage e Backup as-a-Service, Lift/Shift di ambienti di Sviluppo e Test, Decommissioning
• VirtualLabs e MOOC “on-demand” su cloud
• Continuità e DR (su on-prem o su Cloud): soluzioni per basi dati Oracle e non Oracle
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)Denodo
Watch full webinar here: https://bit.ly/3CWIBzd
Moving data to the Cloud is a priority for many organizations. Benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. This journey to the Cloud is not easy: moving application(s) and data to the Cloud can be challenging and entails disruption of business, when not carefully managed.
When systems are being migrated, the resultant hybrid (or even multi-) Cloud architecture is, by definition, more complex AND making it harder/more costly to retrieve the data we need.
Data Virtualization can help organizations at all stages of a Cloud journey - during migration as well as in our “new hybrid multi-Cloud reality”
Watch on-demand this webinar to learn how Data Virtualization can:
- Help organizations manage risk and minimize the disruption caused as systems are moved to the Cloud
- Provide a single point of access for data that is both on-premise and in the Cloud, making it easier for users to find and access the data that they need
- Provide a secure layer to protect and manage data when it's distributed across hybrid or multi-Cloud architectures
… watch a live demo about how to ease the migration.
The document discusses how cloud services are disrupting the traditional IT channel and outlines strategies for channel partners to capitalize on the shift to cloud. It introduces Gravitant's cloudMatrix platform, which aims to streamline the cloud value chain by enabling collaborative solution design, automated provisioning across multiple clouds, cost management, and other services. Case studies show how large system integrators and mid-sized partners can leverage the platform to offer cloud services brokerage and managed services.
Comparing three data ingestion approaches where Apache Kafka integrates with ...HostedbyConfluent
Using Kafka to stream data into TigerGraph, a distributed graph database, is a common pattern in our customers’ data architecture. We have seen the integration in three different layers around TigerGraph’s data flow architecture, and many key use case areas such as customer 360, entity resolution, fraud detection, machine learning, and recommendation engine. Firstly, TigerGraph’s internal data ingestion architecture relies on Kafka as an internal component. Secondly, TigerGraph has a builtin Kafka Loader, which can connect directly with an external Kafka cluster for data streaming. Thirdly, users can use an external Kafka cluster to connect other cloud data sources to TigerGraph cloud database solutions through the built-in Kafka Loader feature. In this session, we will present the high-level architecture in three different approaches and demo the data streaming process.
This document provides an agenda for a presentation on Oracle GoldenGate. The agenda includes an overview of Oracle GoldenGate, a discussion of Oracle GoldenGate 12.2, Oracle GoldenGate for Big Data, the Oracle GoldenGate Foundation Suite including Studio, Management Pack, and Veridata, and Oracle GoldenGate Cloud Service. The presentation will cover the key capabilities and benefits of these Oracle GoldenGate products and services.
Big Data Analytics 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.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
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.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
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, transcript, 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.
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.
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.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
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.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
#4: This is a Safe Harbor Front slide, one of two Safe Harbor Statement slides included in this template.
One of the Safe Harbor slides must be used if your presentation covers material affected by Oracle’s Revenue Recognition Policy
To learn more about this policy, e-mail: [email protected]
For internal communication, Safe Harbor Statements are not required. However, there is an applicable disclaimer (Exhibit E) that should be used, found in the Oracle Revenue Recognition Policy for Future Product Communications. Copy and paste this link into a web browser, to find out more information.
http://my.oracle.com/site/fin/gfo/GlobalProcesses/cnt452504.pdf
For all external communications such as press release, roadmaps, PowerPoint presentations, Safe Harbor Statements are required. You can refer to the link mentioned above to find out additional information/disclaimers required depending on your audience.
#6: Reference
Big Data Growth: >800% data growth is expected by 2020, with 80% of new data unstructured (Gartner)
Social: 90% of online adults 19-29 use social media according to Pew Research. Information flow is now real-time across global social networkshttp://www.northbridge.com/2014-future-cloud-computing-survey
Mobile: Mobile apps are revolutionizing how we live our lives and are a $27B market in 2014, growing at an 85% rate(3) [http://www.slideshare.net/Equinix_Inc/enabling-the-future-of-networks-enterprises-clouds (ABI Research)
Cloud Adoption (General)
IDC Forecasts Public IT Cloud Services Spending Will Reach $127 billion in 2018 as the Market Enters a Critical Innovation Stage(http://www.idc.com/getdoc.jsp?containerId=prUS25219014)
Cloud Adoption (SaaS)
Wikibon forecasts the SaaS is worth $53B market today and will grow at an 18% Compound Annual Growth Rate (CAGR) from 2014 to 2026.http://wikibon.com/wp-content/uploads/kalins-pdf/singles/public-cloud-market-forecast-2015-2026.pdf
Cloud Adoption (PaaS):
The fastest growing cloud technology segment is Platform-as-a-Service (PaaS), which is valued at $2.3B today, growing at a CAGR of 38% from 2014 to 2026. http://wikibon.com/wp-content/uploads/kalins-pdf/singles/public-cloud-market-forecast-2015-2026.pdf
#8: one out of the two SaaS applications was abandoned in the past 3 years due to integration problems
54% of business had missed project deadline in the last six months due to cloud integration problems
42% customers have seen data security breach in their department directly associated with cloud applications
Half of the cloud adopters have tried and failed at a cloud integration
#9: Oracle data integration works on providing all its capability in cloud. This includes
GoldenGate Cloud Service providing real-time data movement
Data Integrator on both Java an Big Data Cloud Service providing Data ELT processing
Metadata Management on Java Cloud Service providing catalog, trace and view modules across the enterprise
Big Data Preparation Cloud Service preparing, securing, enriching and publishing unstructured data in Cloud
SaaS Data Quality and EDQ service on Java Cloud Service providing profiling, matching and remediating data services
DataflowML Cloud Service provides data processing services
The extensive integration support builds solid foundation to address the integrate demands in cloud.