In this presentation from the AWS Dallas workshop, Datavail's migration team discusses the different decision paths to the cloud, how to decide when to migrate to AWS, and 3 case studies examples of migrations to AWS
Join us as we outline strategies to reduce complexity in your database management allowing your organization to focus on digital transformation. This session will cover:
Challenges businesses face in driving modernization
Role of open source databases like Postgres in successful transformation
Financial services customer case studies tackling these challenges
About the Presenter:
Ken Rugg is EDB’s Chief Product and Strategy Officer and is charged with leading the company's product and strategic vision
Postgres Vision 2018: How to Consume your Database Platform On-premisesEDB
The usual model for a database platform on-premises is to run it the way IT is usually operated - silo'd and capital- and labor-intensive. In the cloud, consumption means that you pay for what you use, with less heavy lifting to operate the platform. Presented at Postgres Vision 2018, this covers how HPE can deliver EDB Postgres in the data center or on the edge in a consumption model that is pay-per-use, elastic IT, operated for you, migrated, and integrated.
In January of this year, Kyligence announced the immediate availability of Kyligence Cloud 4, the first fully cloud-native, distributed OLAP platform. During our announcement, EMA analyst John Santaferraro said:
“As the race for unified analytics heats up, Kyligence offers a solution that overcomes the challenges of querying data in both data lakes and data warehouses located both in the cloud and on premises.”
Join Li Kang - VP of North America at Kyligence - as he provides an overview of the Kyligence Cloud 4 release that will show:
--The new cloud native architecture that employs Apache Kylin, Apache Spark, and Apache Parquet to ensure optimal performance.
--How KC4 delivers sub-second query responses on very large datasets using precomputed aggregate indexes (hyper-cubes) and table indexes.
--The AI-Augmented engine that intelligently organizes your data and reduces data modeling time from days/weeks to minutes.
In this presentation, we will present the Kyligence Cloud 4 story - high-speed analytics with unprecedented sub-second query response times against petabyte datasets.
Postgres Vision 2018: Your Migration Path - Isabel Case StudyEDB
Benny Rutten, Senior Database Administrator at Isabel Group, presented a case study at Postgres Vision 2018 about building a Service Hub on OpenStack with EDB Postgres that any Oracle DBA could manage with zero transition time.
This document discusses how Postgres fits into a DevOps world. It notes that as companies become more software-focused, DevOps practices like continuous integration/delivery, microservices, and containers are on the rise. This means databases need to be developer-friendly, support versatile data models like JSON, integrate with other technologies, and allow for rapid deployment including on databases-as-a-service platforms. Postgres is well-suited to this new environment as an open-source, multi-platform database that can scale easily and works well with other data systems through foreign data wrappers. The role of the database administrator is also changing to focus more on strategic tasks like performance, security, and data management rather than system administration.
Webinar: BI in the Sky - The New Rules of Cloud AnalyticsSnapLogic
In this webinar, we talk about the shift in data gravity as more and more business applications are moving to the cloud, and how the ability to deliver analytics in the cloud has evolved from idea to enterprise reality with new solutions being announced constantly that appeal to the need for speed, simplicity and access to insight on demand. Joining us in this webinar is David Glueck, Sr. Director of Data Science and Engineering at Bonobos.
To learn more, visit: www.SnapLogic.com/salesforce-analytics
This document discusses IBM's Cloud Private for Data platform, which provides a fully governed collaborative data platform to help organizations on their journey to AI. It allows users to collect and organize all their data, accelerate machine learning with data, and empower team collaboration. The platform provides data integration, curation, governance, and lifecycle management tools. It also offers databases, data warehousing, analytics visualization, and machine learning capabilities on demand in a cloud-native architecture.
Webinar: Don't believe the hype, you don't need dedicated storage for VDI NetApp
This webinar covers how the combination of SolidFire and Citrix XenDesktop enables customers to confidently support the storage demands of a virtual desktop environment in a multi-tenant or multi-application environment.
Snowflake + Power BI: Cloud Analytics for EveryoneAngel Abundez
This document discusses architectures for using Snowflake and Power BI together. It begins by describing the benefits of each technology. It then outlines several architectural scenarios for connecting Snowflake to Power BI, including using a Power BI gateway, without a gateway, and connecting to Analysis Services. The document also provides examples of usage scenarios and developer best practices. It concludes with a section on data governance considerations for architectures with and without a Power BI gateway.
Part of proper governance in Power BI means taking proper care of what goes on in your tenant. Here's a list of areas you need to watch for and some helpful telemetry to start collecting.
EDB Postgres in DBaaS & Container PlatformsAshnikbiz
In this presentation learn :
For database deployment, when and how should you pick modern platforms like Virtualization, Cloud and Containers?
How Postgres will fit in your enterprise architecture? And how can it power your business critical applications?
NoSQL and Spatial Database Capabilities using PostgreSQLEDB
PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required.
Attend this webinar to learn:
- The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model
- NoSQL with JSON, Hstore and its performance and features for enterprises
- Spatial SQL - advanced features in PostGIS application with PostGIS extension
Postgres Vision 2018: The Changing Role of the DBA in the CloudEDB
Not that long ago, DBAs were the gateway to all things database related for enterprises. With the advent of the cloud, automation and DevOps, the DBAs role and responsibilities are rapidly evolving. In this presentation delivered at Postgres Vision 2018, Ken Rugg, Chief Product & Strategy Officer at EDB, explored the 10 most significant ways the role of the DBA has changed and what new, higher value skills a DBA will need be ready for epic change.
Yellowbrick Webcast with DBTA for Real-Time AnalyticsYellowbrick Data
This document discusses key capabilities needed for real-time analytics. It notes that real-time data, combined with historical data, provides important context for decision making. Building data pipelines with fewer systems and steps leads to greater scalability and reliability. The document outlines needs for real-time analytics like ingesting streaming data, powering analytic applications, delivering massive capacity, and guaranteeing performance. It emphasizes that both real-time and historical data are important for analytics and that the right architecture can incorporate multiple data sources and workloads.
Data Engineer, Patterns & Architecture The future: Deep-dive into Microservic...Igor De Souza
With Industry 4.0, several technologies are used to have data analysis in real-time, maintaining, organizing, and building this on the other hand is a complex and complicated job. Over the past 30 years, we saw several ideas to centralize the database in a single place as the united and true source of data has been implemented in companies, such as Data wareHouse, NoSQL, Data Lake, Lambda & Kappa Architecture.
On the other hand, Software Engineering has been applying ideas to separate applications to facilitate and improve application performance, such as microservices.
The idea is to use the MicroService patterns on the date and divide the model into several smaller ones. And a good way to split it up is to use the model using the DDD principles. And that's how I try to explain and define DataMesh & Data Fabric.
Automating EDB Postgres using Ansible by Sameer Kumar - Senior Solution Archi...Ashnikbiz
This Presentation Covers:
Improving application deployment by introducing database automation to your CI/CD pipeline.
Current DB deployment challenges.
Modern day deployment options.
Automated Deployment with Ansible
Benefits of Ansible
If you liked the demo and would like to play with the code yourself, you can find it on Github Repository: https://github.com/sameerkasi200x/self-provisioned-edb-multiplatform.
You can use it to get a head-start on Ansible-ized EDB deployment or to dig into the code used for the demo.
In this webinar, we talk with experts from Integration Developer News about the SnapLogic Elastic Integration Platform and adoption trends for iPaaS in the enterprise.
To learn more, visit: http://video.snaplogic.com/webinars/
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
This document discusses connected data and edge computing. It summarizes that connected devices, customers, vehicles, and assets are fueling new business models powered by streaming data, artificial intelligence, cloud computing, and the internet of things. It then describes Hortonworks' data platforms for managing both data at rest and in motion across cloud, on-premises and hybrid environments to enable analytics and power the modern data architecture.
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...SnapLogic
In this webinar, learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
We also discuss how Earth Networks gained faster data insights using SnapLogic’s Amazon Redshift data integration and other connectors to quickly integrate, transfer and analyze data from multiple applications.
To learn more, visit: www.snaplogic.com/redshift
Data Warehouse - Incremental Migration to the CloudMichael Rainey
A data warehouse (DW) migration is no small undertaking, especially when moving from on-premises to the cloud. A typical data warehouse has numerous data sources connecting and loading data into the DW, ETL tools and data integration scripts performing transformations, and reporting, advanced analytics, or ad-hoc query tools accessing the data for insights and analysis. That’s a lot to coordinate and the data warehouse cannot be migrated all at once. Using a data replication technology such as Oracle GoldenGate, the data warehouse migration can be performed incrementally by keeping the data in-sync between the original DW and the new, cloud DW. This session will dive into the steps necessary for this incremental migration approach and walk through a customer use case scenario, leaving attendees with an understanding of how to perform a data warehouse migration to the cloud.
Presented at RMOUG Training Days 2019
View the webinar here - https://bit.ly/2ErkxYY
Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.
The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution.
Join our upcoming webinar where Impetus experts will detail:
Cloud migration strategy
Critical considerations for moving to the cloud
Nuances of migration journey to Snowflake
Demo – Automated workload transformation to Snowflake.
To view - visit https://bit.ly/2ErkxYY
Denodo DataFest 2017: Integrating Big Data and Streaming Data with Enterprise...Denodo
Watch live presentation here: https://goo.gl/UcZEHU
Big data projects are becoming mature and consistent. However, they remain siloed compared to the enterprise data. In addition, now new streaming data needs to integrated as well.
Watch this Denodo DataFest 2017 session to discover:
• How big data projects can be combined with other enterprise data.
• How to integrate streaming data into the mix.
• Benefits of aggregating the data without having to move them into a centralized repository.
The document discusses challenges with traditional data warehousing and analytics including high upfront costs, difficulty managing infrastructure, and inability to scale easily. It introduces Amazon Web Services (AWS) and Amazon Redshift as a solution, allowing for easy setup of data warehousing and analytics in the cloud at low costs without large upfront investments. AWS services like Amazon Redshift provide flexible, scalable infrastructure that is easier to manage than traditional on-premise systems and enables organizations to more effectively analyze large amounts of data.
EnterpriseDB CEO and President Ed Boyajian opened Postgres Vision 2018 with this presentation providing a look at enterprise activity in the cloud and how Postgres can extend across the IT infrastructure, from on-premises to the cloud.
The move from Siloed to Shared Infrastructure – and the future of the Data Ce...NetApp
The document discusses the shift from siloed to shared infrastructure in data centers. There have been two major shifts - from disk to flash storage, and from isolated to consolidated and shared infrastructure for compute, network, and storage resources. This is enabling a transformation from siloed and inefficient legacy data centers to next-generation data centers that are automated, scalable, and provide guaranteed performance and quality of service. The SolidFire platform is presented as enabling organizations to consolidate workloads, automate management, scale storage non-disruptively with guaranteed performance, thus achieving the goals of the next-generation data center.
The document discusses Generali's journey towards building a real-time data platform called the Connection Platform (CoPa) using Kafka and related technologies. It describes Generali's starting position facing regulatory pressure and changing customer expectations. It then outlines Generali's initial strategy, a high-level solution sketch for CoPa, and lessons learned from the project so far. CoPa is now running in production with over 300 topics across 5 environments to power new projects and applications.
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...Ashnikbiz
Polyglot Persistence and Database Deployment discusses using multiple database types (polyglot persistence) to address modern data challenges. It introduces key-value, document, columnar, and graph databases. Using polyglot persistence allows using the best database for each use case, improving scalability, flexibility, and experience. Some benefits are getting strict integrity from relational databases with NoSQL scalability. Service wrapping and enhancing functionality with additional databases are also discussed. Factors to consider include identifying the right database, interfacing applications, mapping results, queries across databases, backups, and configuration changes. Polyglot persistence needs to be designed for each enterprise's unique data architecture.
Beyond Batch: Is ETL still relevant in the API economy?SnapLogic
Industry thought leaders Gaurav Dhillon and David Linthicum discuss the future of cloud integration and data management in the API economy. Topics from this webinar and the accompanying slides include: key considerations of today's CIOs, approaching the reality of the multi-cloud world and new solutions for managing cloud and on-premise data.
To learn more, visit: http://www.snaplogic.com/.
The document discusses assessing and planning SQL database migrations to Azure. It outlines the steps involved, including initiating and discovering databases, assessing requirements and dependencies, planning the target platform of IaaS or PaaS, migrating the databases with various tools depending on downtime windows, and optimizing workloads in the cloud. It provides examples of tools like MAP, DMA, and migration options like transactional replication or Azure Database Migration Service.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
Snowflake + Power BI: Cloud Analytics for EveryoneAngel Abundez
This document discusses architectures for using Snowflake and Power BI together. It begins by describing the benefits of each technology. It then outlines several architectural scenarios for connecting Snowflake to Power BI, including using a Power BI gateway, without a gateway, and connecting to Analysis Services. The document also provides examples of usage scenarios and developer best practices. It concludes with a section on data governance considerations for architectures with and without a Power BI gateway.
Part of proper governance in Power BI means taking proper care of what goes on in your tenant. Here's a list of areas you need to watch for and some helpful telemetry to start collecting.
EDB Postgres in DBaaS & Container PlatformsAshnikbiz
In this presentation learn :
For database deployment, when and how should you pick modern platforms like Virtualization, Cloud and Containers?
How Postgres will fit in your enterprise architecture? And how can it power your business critical applications?
NoSQL and Spatial Database Capabilities using PostgreSQLEDB
PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required.
Attend this webinar to learn:
- The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model
- NoSQL with JSON, Hstore and its performance and features for enterprises
- Spatial SQL - advanced features in PostGIS application with PostGIS extension
Postgres Vision 2018: The Changing Role of the DBA in the CloudEDB
Not that long ago, DBAs were the gateway to all things database related for enterprises. With the advent of the cloud, automation and DevOps, the DBAs role and responsibilities are rapidly evolving. In this presentation delivered at Postgres Vision 2018, Ken Rugg, Chief Product & Strategy Officer at EDB, explored the 10 most significant ways the role of the DBA has changed and what new, higher value skills a DBA will need be ready for epic change.
Yellowbrick Webcast with DBTA for Real-Time AnalyticsYellowbrick Data
This document discusses key capabilities needed for real-time analytics. It notes that real-time data, combined with historical data, provides important context for decision making. Building data pipelines with fewer systems and steps leads to greater scalability and reliability. The document outlines needs for real-time analytics like ingesting streaming data, powering analytic applications, delivering massive capacity, and guaranteeing performance. It emphasizes that both real-time and historical data are important for analytics and that the right architecture can incorporate multiple data sources and workloads.
Data Engineer, Patterns & Architecture The future: Deep-dive into Microservic...Igor De Souza
With Industry 4.0, several technologies are used to have data analysis in real-time, maintaining, organizing, and building this on the other hand is a complex and complicated job. Over the past 30 years, we saw several ideas to centralize the database in a single place as the united and true source of data has been implemented in companies, such as Data wareHouse, NoSQL, Data Lake, Lambda & Kappa Architecture.
On the other hand, Software Engineering has been applying ideas to separate applications to facilitate and improve application performance, such as microservices.
The idea is to use the MicroService patterns on the date and divide the model into several smaller ones. And a good way to split it up is to use the model using the DDD principles. And that's how I try to explain and define DataMesh & Data Fabric.
Automating EDB Postgres using Ansible by Sameer Kumar - Senior Solution Archi...Ashnikbiz
This Presentation Covers:
Improving application deployment by introducing database automation to your CI/CD pipeline.
Current DB deployment challenges.
Modern day deployment options.
Automated Deployment with Ansible
Benefits of Ansible
If you liked the demo and would like to play with the code yourself, you can find it on Github Repository: https://github.com/sameerkasi200x/self-provisioned-edb-multiplatform.
You can use it to get a head-start on Ansible-ized EDB deployment or to dig into the code used for the demo.
In this webinar, we talk with experts from Integration Developer News about the SnapLogic Elastic Integration Platform and adoption trends for iPaaS in the enterprise.
To learn more, visit: http://video.snaplogic.com/webinars/
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
This document discusses connected data and edge computing. It summarizes that connected devices, customers, vehicles, and assets are fueling new business models powered by streaming data, artificial intelligence, cloud computing, and the internet of things. It then describes Hortonworks' data platforms for managing both data at rest and in motion across cloud, on-premises and hybrid environments to enable analytics and power the modern data architecture.
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...SnapLogic
In this webinar, learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
We also discuss how Earth Networks gained faster data insights using SnapLogic’s Amazon Redshift data integration and other connectors to quickly integrate, transfer and analyze data from multiple applications.
To learn more, visit: www.snaplogic.com/redshift
Data Warehouse - Incremental Migration to the CloudMichael Rainey
A data warehouse (DW) migration is no small undertaking, especially when moving from on-premises to the cloud. A typical data warehouse has numerous data sources connecting and loading data into the DW, ETL tools and data integration scripts performing transformations, and reporting, advanced analytics, or ad-hoc query tools accessing the data for insights and analysis. That’s a lot to coordinate and the data warehouse cannot be migrated all at once. Using a data replication technology such as Oracle GoldenGate, the data warehouse migration can be performed incrementally by keeping the data in-sync between the original DW and the new, cloud DW. This session will dive into the steps necessary for this incremental migration approach and walk through a customer use case scenario, leaving attendees with an understanding of how to perform a data warehouse migration to the cloud.
Presented at RMOUG Training Days 2019
View the webinar here - https://bit.ly/2ErkxYY
Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.
The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution.
Join our upcoming webinar where Impetus experts will detail:
Cloud migration strategy
Critical considerations for moving to the cloud
Nuances of migration journey to Snowflake
Demo – Automated workload transformation to Snowflake.
To view - visit https://bit.ly/2ErkxYY
Denodo DataFest 2017: Integrating Big Data and Streaming Data with Enterprise...Denodo
Watch live presentation here: https://goo.gl/UcZEHU
Big data projects are becoming mature and consistent. However, they remain siloed compared to the enterprise data. In addition, now new streaming data needs to integrated as well.
Watch this Denodo DataFest 2017 session to discover:
• How big data projects can be combined with other enterprise data.
• How to integrate streaming data into the mix.
• Benefits of aggregating the data without having to move them into a centralized repository.
The document discusses challenges with traditional data warehousing and analytics including high upfront costs, difficulty managing infrastructure, and inability to scale easily. It introduces Amazon Web Services (AWS) and Amazon Redshift as a solution, allowing for easy setup of data warehousing and analytics in the cloud at low costs without large upfront investments. AWS services like Amazon Redshift provide flexible, scalable infrastructure that is easier to manage than traditional on-premise systems and enables organizations to more effectively analyze large amounts of data.
EnterpriseDB CEO and President Ed Boyajian opened Postgres Vision 2018 with this presentation providing a look at enterprise activity in the cloud and how Postgres can extend across the IT infrastructure, from on-premises to the cloud.
The move from Siloed to Shared Infrastructure – and the future of the Data Ce...NetApp
The document discusses the shift from siloed to shared infrastructure in data centers. There have been two major shifts - from disk to flash storage, and from isolated to consolidated and shared infrastructure for compute, network, and storage resources. This is enabling a transformation from siloed and inefficient legacy data centers to next-generation data centers that are automated, scalable, and provide guaranteed performance and quality of service. The SolidFire platform is presented as enabling organizations to consolidate workloads, automate management, scale storage non-disruptively with guaranteed performance, thus achieving the goals of the next-generation data center.
The document discusses Generali's journey towards building a real-time data platform called the Connection Platform (CoPa) using Kafka and related technologies. It describes Generali's starting position facing regulatory pressure and changing customer expectations. It then outlines Generali's initial strategy, a high-level solution sketch for CoPa, and lessons learned from the project so far. CoPa is now running in production with over 300 topics across 5 environments to power new projects and applications.
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...Ashnikbiz
Polyglot Persistence and Database Deployment discusses using multiple database types (polyglot persistence) to address modern data challenges. It introduces key-value, document, columnar, and graph databases. Using polyglot persistence allows using the best database for each use case, improving scalability, flexibility, and experience. Some benefits are getting strict integrity from relational databases with NoSQL scalability. Service wrapping and enhancing functionality with additional databases are also discussed. Factors to consider include identifying the right database, interfacing applications, mapping results, queries across databases, backups, and configuration changes. Polyglot persistence needs to be designed for each enterprise's unique data architecture.
Beyond Batch: Is ETL still relevant in the API economy?SnapLogic
Industry thought leaders Gaurav Dhillon and David Linthicum discuss the future of cloud integration and data management in the API economy. Topics from this webinar and the accompanying slides include: key considerations of today's CIOs, approaching the reality of the multi-cloud world and new solutions for managing cloud and on-premise data.
To learn more, visit: http://www.snaplogic.com/.
The document discusses assessing and planning SQL database migrations to Azure. It outlines the steps involved, including initiating and discovering databases, assessing requirements and dependencies, planning the target platform of IaaS or PaaS, migrating the databases with various tools depending on downtime windows, and optimizing workloads in the cloud. It provides examples of tools like MAP, DMA, and migration options like transactional replication or Azure Database Migration Service.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
This technical workshop equips you with the insights to modernize your legacy Windows and SQL Server applications. We will walk through the common Amazon Web Services (AWS) solutions and proven customer approaches to deploy and migrate SQL Server 2008 to the cloud.
Migrating Legacy Applications to AWS Cloud: Strategies and ChallengesOSSCube
To reduce the TCO of application infrastructure and to make them more scalable and resilient it is advisable to migrate on-premise legacy applications to AWS cloud. In this webinar, you will learn the benefits, key challenges and strategies to mitigate them. It will also talk about leveraging the cloud infrastructure to further modernize the application.
Key Take Away:
Opportunities and challenges while migrating premise application to cloud.
Identifying the applications
Assessing cloud architecture and costs
Data migrations strategies and options
Strategies for migration applications
Leveraging the cloud and optimization
In this session you will learn how Qlik’s Data Integration platform (formerly Attunity) reduces time to market and time to insights for modern data architectures through real-time automated pipelines for data warehouse and data lake initiatives. Hear how pipeline automation has impacted large financial services organizations ability to rapidly deliver value and see how to build an automated near real-time pipeline to efficiently load and transform data into a Snowflake data warehouse on AWS in under 10 minutes.
Running your database in the cloud presentationManish Singh
This document discusses running databases in the cloud and the challenges involved. It outlines the paradigm shift from on-premise to cloud-hosted databases and how this affects availability, elasticity, manageability and cost. Specific solutions are presented for addressing each challenge, such as database-as-a-service providers that offer automated scaling, high availability and APIs for management. The use case of an ecommerce application's architectural evolution is provided to illustrate how these challenges emerge over time with growth.
Many organizations focus on the licensing cost of Hadoop when considering migrating to a cloud platform. But other costs should be considered, as well as the biggest impact, which is the benefit of having a modern analytics platform that can handle all of your use cases. This session will cover lessons learned in assisting hundreds of companies to migrate from Hadoop to Databricks.
This document discusses the challenges of running databases in the cloud and available solutions. The key challenges are availability, scalability, manageability and cost. Availability requires standby servers and replication. Scalability involves scaling up resources or scaling out horizontally by adding servers. Manageability requires self-service tools. Cost savings require pay-per-use elastic scaling without overprovisioning. The document compares building your own database in the cloud versus using a database-as-a-service, and provides examples like Amazon RDS and Xeround that aim to address these challenges.
This document discusses the challenges of running databases in the cloud and available solutions. The key challenges are availability, scalability, manageability and cost. Availability requires replication and failover. Scalability involves scaling up resources or scaling out horizontally. Manageability requires self-service tools. Cost savings require pay-per-use elastic scaling without overprovisioning. Database-as-a-Service providers aim to address these challenges by offering managed database services.
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
Accelerate SQL Server Migration to the AWS Cloud Datavail
In today’s marketplace, moving to the public Cloud is a familiar and consistent trend within the SQL Server community.
But which cloud provider do you choose? After all there are different AWS instances each with their own distinctive features. Migrations to the cloud are only going to gain greater momentum as organizations grapple with their on-premises alternatives.
Recent cloud breaches may have some organizations hesitant to take the leap and move to the cloud, however market-leading cloud providers are making every attempt in adhering to compliance guidelines while boosting their security framework and reliability offerings. They are also becoming more competitive by managing their cost more effectively.
For both homogeneous and heterogeneous migrations, planning plays a critical role in moving to the cloud. Preparing a checklist and asking the right questions to stakeholders lays the groundwork in this planning. There are different methods to migrate databases from on-premises to the AWS cloud.
This webinar is in partnership with PASS, download the recording to learn more about:
Reasons to go to the cloud
SQL Server on AWS EC2 vs. AWS RDS
SQL Server high availability (HA) & disaster recovery (DR)
SQL Server migration methodology
DBAs role in the cloud
MOUS 2020 - Hyperion 11.2 vs. Cloud: Should I Stay or Should I Go?Datavail
Oracle has announced the 11.2 release of the Oracle Hyperion EPM on-premises suite, tentatively scheduled for Q1 2019. The impending release represents a decision point for many on-premises customers: Should I invest in upgrading to 11.2, or is this the right time to move to the cloud?
The presentation will cover:
• On-premise infrastructure impacts
• Hyperion/Oracle EPM 11.2.x.x. vs. Cloud
• Understanding Oracle’s Cloud strategy
• Alternative cloud migration approaches
We will share the most important considerations when making this decision and share some of our related real-world experience.
Oracle Enterprise Manager Seven Robust Features to Put in Action finalDatavail
Oracle Enterprise Manager (OEM) brings your Oracle deployments together in a single management, monitoring, and automation dashboard. Oracle developed this solution, so it offers deep integration with many of its technologies. The ease of integration, coupled with the support of both on-premise and cloud-based Oracle databases, allows it to fit into many enterprise infrastructures. Oracle Enterprise Manager can also monitor and manage non-Oracle databases, making it a cost-effective and central tool to manage IT environments with a mix of database platforms.
The single point of control is appealing for complex enterprise infrastructures, especially when they’re heavily invested in Oracle technologies. Out-of-the-box monitoring and reporting templates cover many common use cases, and simplifies the configuration of management automation for databases, applications, and more.
Watch the webinar to see a brief history of OEM and a deep dive into seven robust features organizations should consider implementing:
Lessons from Migrating Oracle Databases to Amazon RDS or Amazon Aurora Datavail
Learn and leverage database migration best practices from moving off commercial Oracle databases to Amazon RDS or Aurora. We’ll cover common pitfalls, issues, the biggest differences between the engines, migration best practices, and how some of our customers have completed these migrations.
EPM 11.2: Lessons Learned and 2021 PreparednessDatavail
As we all know, EPM 11.2 is here!
But…it was released too late in 2019 for most organizations to budget an on-premises EPM upgrade for Fiscal 2020. However, the end of support for 11.1.2.4 is also looming in 2021. If you’re staying on-premises, an upgrade to 11.2 should go live no later than December 2021 (earlier if subject to SOX controls).
Rather than waiting for the next budget cycle to roll around, this webinar will show attendees how to prepare for an upgrade this year without spending significant time and capital. We’ll also share what we’ve learned while upgrading to 11.2, and what you can expect post-install.
Optimizing Oracle Databases & Applications Gives Fast Food Giant Major GainsDatavail
A leader in the fast-food industry began experiencing issues with database performance and financial close processes that were having major effects on the business. By implementing optimization techniques, re-architecting systems, migrating to the cloud, and properly distributing server load, this fast-food giant was able to:
Cut server lag from 24 hours to five minutes during even the most active periods
Decrease time to implement global changes to menus from one week to overnight
Speed their financial close time frame
Significantly reduce the frequency of crashes and downtime
And more!
Watch this webinar to learn HOW this was achieved with our 5S performance tuning methodology, so you can do the same in your own environment.
The document describes an upcoming conference on February 18-20, 2020 in Westminster, CO focused on helping database professionals prepare for changes in technology and their careers. It provides an agenda for the conference that includes topics like determining a career direction, focusing on high-value skills, mastering cloud technologies, addressing autonomous databases, and making the case for training. Two experienced professionals, Chuck Farman and Steve Thompson, are featured as leaders in the Oracle practice at the technology services company Datavail, which also has an overview section. The document emphasizes the need for database professionals to adapt their skills to changes and focus on continuous learning and alignment with business goals.
Upcoming Extended Support Deadlines & What They Mean for YouDatavail
Extended Support deadlines are drawing near for the technology undergirding on-premises Oracle® EPM/Hyperion systems.
Watch this on-demand webinar to learn about vendor Extended Support deadlines for Java, Oracle JRockit, Microsoft Windows Server, Microsoft SQL Server, Linux, and Oracle EPM 11.1.2.4 and prior and how they will affect your EPM/Hyperion applications. While some of these dates are a few years away, others are not and may surprise you.
Also, learn about implications of either an upgrade vs. moving to the Cloud if your system is subject to Sarbanes-Oxley or similar change audit controls. If your Oracle EPM system is subject to these controls, take note of ways to avoid being red-flagged in a future year’s SOX audit.
Are you are interested in running SQL on Linux, but don’t know how to get started? In this presentation, we’ll share the software and hardware you need to get started. We’ll also cover these steps:
- Installing and configuring VirtualBox, Ubuntu Server, PUTTY, SQL Server 2019 on Ubuntu.
- Review the basic administration steps such as start and stop the SQL Server services on Linux
- Backup and restore a database on Linux and checking CPU usage, disk i/o, and disk space.
By the end of the presentation, you will have the required knowledge to setup your own lab and continue your journey on further learning of SQL on Linux.
Reduce Cost by Tuning Queries on Azure DBaaSDatavail
Poorly written queries on on-premise servers slow down the server performance.But in the case of Azure SQL database, those queries not only degrade the application performance but also cost money. When you tune queries in Azure SQL Database, you may benefit from reducing resource demands as your application might run at a lower compute size and then eventually you can reduce cost.
In any given SQL Server instance, there are likely 8 to 10 queries or stored procedures that are responsible for 80 to 90 percent of the server load. If you can identify these problem queries and tune them, you can make a significant impact on the overall performance of your database. This presentation will explain some simple techniques of tuning the queries and will demonstrate before and after performance differences.
MOUS 2019 - Keeping Pace with Change: Prepare for Tomorrow & Advance Your Car...Datavail
The document discusses a conference on keeping pace with changes in technology. It provides an agenda for the conference that includes determining business goals and direction, focusing on value, expanding skills through learning, mastering cloud technologies, and preparing for autonomous databases. It emphasizes aligning goals with business needs and future career direction, prioritizing skills improvement, and making a case for training to stay relevant in a changing technological landscape.
Essbase On-Prem to Oracle Analytics Cloud - How, When, and WhyDatavail
In this presentation, you will get insight into the benefits of upgrading vs. moving to the cloud, scenarios and case studies from our recent years of experience, and how moving to the cloud might affect your budgeting, software updates & patches, existing investments, licensing costs, and more.
Is "Free" Good Enough for Your MySQL Environment?Datavail
MySQL can be the perfect answer for fast-growing, highly-performant and geographically-distributed database environments, but in order to function as a business-critical system with immediate response times, the ubiquitous database server needs a little help.
That’s where Continuent and Datavail come in. Combined, these two companies, which specialize in making MySQL and other databases perform continuously, have helped hundreds of enterprise, mid-market and start-up companies alike, including many in the data-dependent SaaS, e-commerce, financial services and gaming industries.
In addition, we’ll dive into why ‘managed’ database-as-a-service solutions, may not be quite as self-managing as people would like to believe. You’ll hear several case studies on how clients are effectively utilizing Continuent Tungsten software and Datavail services to optimize their MySQL environments.
Critical Preflight Checks for Your EPM ApplicationsDatavail
The environment which houses your business critical EPM applications is complex.
Maybe as complex as the cockpit of an aircraft. Just as a pilot might not be able to build or fix everything on their plane, you might be using applications but not know how to build or fix everything that’s being used. This shouldn’t stop you from doing a pre-flight check to ensure that all your Hyperion systems are running properly and set for you and your end users.
Let’s talk about some different strategies to achieve this and give you the confidence in your systems so that you can know when things are running well—or more importantly, when they need attention before takeoff.
Essbase On-Prem to Oracle Analytics Cloud - How, When, and WhyDatavail
Kurt Mayer, an analytics consultant with 15 years of experience working with Oracle products like Essbase, discusses strategies for migrating Essbase implementations from on-premises to Oracle's new Essbase 19c Cloud offering. Key points include that Essbase 19c Cloud provides significant performance improvements over existing on-premises versions. While staying on-premises is still an option, the cloud offers advantages like reduced maintenance costs, access to new functionality, and the ability to leverage the scalability of the cloud. The presentation provides recommendations and a case study of successfully migrating a large insurance company's Essbase environment to the cloud.
In this presentation, we’ll explore the Accidental DBA. Oracle DBA Team Lead and expert, Steve Thompson’s presentation from Kscope19 takes on the different ways to lead an Accidental DBA.
The presentation explores:
What is an Accidental DBA, and what scenarios create an Accidental DBA?
Why it’s important to evaluate skill gaps, risks and benefits and plan for them.
Why companies should invest in the training.
Managing an EPM platform is not for the faint of heart – and going at it without a plan can leave you frustrated, nervous, and accountable if trouble strikes. But how do you prepare?
This presentation helps you get all of your EPM planning in one place with an EPM Punch List. We’ll talk through all the areas you should be concerned about to keep your Hyperion and Oracle EPM applications running smoothly, and give you solid, actionable strategies so that you are prepared for the worst.
Why NBC Universal Migrated to MongoDB AtlasDatavail
NBCUniversal, a worldwide mass media corporation, was looking for a more affordable and easier way to manage their database solution that hosts their extensive online digital assets. With Datavail’s assistance, NBCUniversal made the move from MongoDB 3.6 to MongoDB Atlas on AWS.
In this presentation, learn how making this move enabled the entertainment titan to reduce overhead and labor costs associated with managing its database environment.
In this presentation, we’ll explore the essential steps to get started and running SQL on Linux. Get up to speed quickly on identifying the software and hardware required plus the how-to on installation, configuration and administration for SQL on Linux.
Just-in-time: Repetitive production system in which processing and movement of materials and goods occur just as they are needed, usually in small batches
JIT is characteristic of lean production systems
JIT operates with very little “fat”
This comprehensive Data Science course is designed to equip learners with the essential skills and knowledge required to analyze, interpret, and visualize complex data. Covering both theoretical concepts and practical applications, the course introduces tools and techniques used in the data science field, such as Python programming, data wrangling, statistical analysis, machine learning, and data visualization.
Thingyan is now a global treasure! See how people around the world are search...Pixellion
We explored how the world searches for 'Thingyan' and 'သင်္ကြန်' and this year, it’s extra special. Thingyan is now officially recognized as a World Intangible Cultural Heritage by UNESCO! Dive into the trends and celebrate with us!
AI Competitor Analysis: How to Monitor and Outperform Your CompetitorsContify
AI competitor analysis helps businesses watch and understand what their competitors are doing. Using smart competitor intelligence tools, you can track their moves, learn from their strategies, and find ways to do better. Stay smart, act fast, and grow your business with the power of AI insights.
For more information please visit here https://www.contify.com/
8. www.datavail.com 8
Open Source Decision Path
Amazon RDS
PostgreSQL
Amazon
Aurora
PostgreSQL
PostgreSQL
on EC2
Amazon
RDS
MySQL
Amazon
Aurora
MySQL
MySQL on EC2
Amazon RDS MariaDB MariaDB on EC2
MySQL
PostgreSQL
MariaDB
9. www.datavail.com 9
Commercial Decision Path
Amazon RDS OracleAmazon Aurora Oracle on
EC2
Amazon
RDS
SQL Server
Amazon
Aurora
SQL Server
on EC2
Amazon Redshift
SQL Server
Oracle
11. www.datavail.com 11
Sony Case Study – Digital Media
• Very large I/O Demands
• Scalability and flexibility
• Enhance HA & DR
• Storage 10 + TB Data
• Infrastructure
Modernization
• Migration strategy
• Performance baseline
• Highly available database
design (99.999%)
• Data transfer automation
• Testing and Go Live
• Improved performance
• Increased scalability
• Higher availability
• Data warehouse build in
AWS
• Analytics – AWS Glue,
Amazon Quicksight
Amazon
EC2
Challenges Accelerated Migration Outcome
Accelerated
Migration
Auto Scaling Amazon S3 Amazon
RDS
12. www.datavail.com 12
seoClarity Case Study - High Tech Company
Very large databases running on MySQL 5.6 - On premises
Master slave configuration
Issues with the performance of the reporting and analytics
queries accessing the slaves (parallel execution)
Issues with storage and disk space (tens of TB)
No Disaster Recovery Solution in-pace
Customer challenges
Leader in SEO
management and
analytics
13. www.datavail.com 13
SeoClarity Case Study - High Tech Company
Identified the most cost-effective & high performing AWS
solution
Amazon Aurora (MySQL)
Architected a migration plan, with little downtime, even
with large on-premises move
Reduced cost of resources with flexible AWS solution to
meet seoClarity’s needs
Offload Reporting/Analytics queries to Amazon Aurora
Amazon Aurora Database as a DR site
Leader in SEO
management and
analytics
Datavail’s Solution and Outcome
14. www.datavail.com 14
SeoClarity Architecture
MySQL
Percona Server
Online
Application
Reporting/
Analytics
Replication
MySQL Reporting/
Analytics
Pre Migration Post Migration
MySQL
Online
Application
On-premises
Reporting/Analytics
Availability
Zone
Amazon Aurora
15. www.datavail.com 15
Accelerated Migration
Case Study – Major Telecommunications Co.
• Oracle licensing cost
• Migrate to Postgres
Aurora
• 150,000 lines of code to
convert
• 3000 + objects to convert
• Data Migration to
PostgreSQL
• AWS Database Migration
Service (DMS) & AWS Schema
Conversion Tool
• Expert Postgres
developers/AWS SA
• Code conversion 2 months
• Data Migration 2 weeks
• Regressing testing
• Database running on
PostgreSQL
• Lower licensing costs
• Migrate other Oracle Db’s
to PostgreSQL
PostgreSQL Amazon
RDS
Challenges Accelerated Migration Outcome
AWS
DMS
AWS Schema
Conversion Tool
19. www.datavail.com 19
Kaplan Case Study - Higher Education
• Wide swings in
application demand
• Lack of scalability
• Lack of HA & DR
• Complex environment
• Unplanned outages
• 24x7 support
• Short handed DBA staff
• Architect cost-efficient AWS
solution
• Migration planning
• Database upgrades
• Automation to reduce 4
week process to 72 hrs.
• Testing and Go Live
• Improved performance
• Increased scalability
• Higher availability
• Lower cost
• Automated DB
monitoring (Datavail
Delta)
• 24x7 DBA support
Amazon
RDS
Amazon
EC2
Challenges Accelerated Migration Outcome
Accelerated
Migration
20. www.datavail.com 20
…one of the reasons we chose Datavail was the unique
combination that they brought to the table. They had
competency managing complex databases across the
board in the cloud, whether it be SQL Server, MySQL, or
Oracle.
Atul Pawar,
Kaplan’s Vice President of Systems and Architecture
“