In this webinar, hear from 451 Research analyst Carl Lehmann about how IT organizations are challenged like never before with several disruptive changes. As hybrid clouds proliferate and as workloads shift across these disruptive venues, enterprises must now consider a thoughtful and strategic approach to hybrid cloud integration.
This presentation features a discussion of the business and technical trends driving hybrid cloud integration, how hybrid cloud integration is different from traditional approaches to integration, and why it matters.
To learn more, visit: www.snaplogic.com/connect-faster
Why do Open and Hybrid work so well together?
The hybrid cloud is about combining public cloud, private cloud and dedicated hardware into an ideal solution for your app, your idea, your innovation and your company.
Mixed that up with open standards and you get the perfect balance of flexibilty and control. You get:
• All public cloud benefits: Pay-as-you-go, no up front investment, instant scalability
• Total flexibility: To match platform with application and change it anytime without lock in or rearchitecting
• Control: You choose the best platform mix without relying on your provider
Get the full story in our easy-to-read slideshare story now.
This presentation was delivered at the BI SIG in Palo Alto. It provides an overview of the market shift away from on-premise solutions to on-demand in the business intelligence industry.
The SnapLogic Integration Cloud for ServiceNowSnapLogic
Learn more about using the SnapLogic Integration Cloud to unlock ServiceNow potential by integrating it with major ITSM Cloud and on-premise applications including BMC Remedy, CA Clarity, SAP SolutionManager, and Workday. SnapLogic’s ServiceNow integration will greatly improve efficiency and quality of IT service management.
To learn more, visit: http://www.snaplogic.com/solutions/servicenow-integration.
Why do Open and Hybrid work so well together?
The hybrid cloud is about combining public cloud, private cloud and dedicated hardware into an ideal solution for your app, your idea, your innovation and your company.
Mixed that up with open standards and you get the perfect balance of flexibilty and control. You get:
• All public cloud benefits: Pay-as-you-go, no up front investment, instant scalability
• Total flexibility: To match platform with application and change it anytime without lock in or rearchitecting
• Control: You choose the best platform mix without relying on your provider
Get the full story in our easy-to-read slideshare story now.
This presentation was delivered at the BI SIG in Palo Alto. It provides an overview of the market shift away from on-premise solutions to on-demand in the business intelligence industry.
The SnapLogic Integration Cloud for ServiceNowSnapLogic
Learn more about using the SnapLogic Integration Cloud to unlock ServiceNow potential by integrating it with major ITSM Cloud and on-premise applications including BMC Remedy, CA Clarity, SAP SolutionManager, and Workday. SnapLogic’s ServiceNow integration will greatly improve efficiency and quality of IT service management.
To learn more, visit: http://www.snaplogic.com/solutions/servicenow-integration.
Postgres, the leading open source relational database, is positioned as the centerpiece of a pivot from traditional architectures to a micro-services based approach that is in full support of a DevOps motion.
Presented by Marc Linster, Senior Vice President of Product Development at EnterpriseDB, this explores how Postgres meets the key requirements for DevOps. Lister explains how Postgres is developer friendly, supporting the process with a versatile data model using JSONB, integrating other data sources using Foreign Data Wrappers, and how Postgres supports rapid deployment in the cloud and on premises.
Building the Enterprise Data Lake - Important Considerations Before You Jump InSnapLogic
In this webinar, learn from industry analyst and big data thought leader Mark Madsen about the future of big data and importance of the new Enterprise Data Lake reference architecture.
This webinar also covers what’s important when building a modern, multi-use data infrastructure, the difference between a Hadoop application and a Data Lake infrastructure, and an enterprise data lake reference architecture to get you started.
To learn more, visit: www.snaplogic.com/big-data
Connect Faster with SnapLogic at Workday RisingSnapLogic
The SnapLogic team recently attended Workday Rising in Las Vegas. In this presentation, learn how SnapLogic is the leader in Workday® integration solutions for rapidly orchestrating process and data across the human resources information system (HRIS) application landscape.
To learn more, visit: snaplogic.com/workday
Webinar: It's the 21st Century - Why Isn't Your Data Integration Loosely Coup...SnapLogic
In this webinar, learn from digital transformation and SOA thought leader Jason Bloomberg about traditional enterprise application integration (EAI), the rise of SOA and Web Services, and the latest REST and JSON initiatives.
This presentation also features a discussion of the age-old problem of implementing loosely coupled data integration, an architectural approach to solving this difficult problem and a demonstration of SnapLogic.
To learn more, visit: www.snaplogic.com/connect-faster
Webinar: The 5 Most Critical Things to Understand About Modern Data IntegrationSnapLogic
In this webinar, we talk to industry analyst, author and practitioner David Linthicum who provides a state-of-the-technology explanation of big data integration.
David also provides 5 critical and lesser known data integration requirements, how to understand today's requirements, and guidance for choosing the right approaches and technology to solve these problems.
To learn more, visit: www.snaplogic.com/big-data
As open source databases become the enterprise standard, making all data available and accessible for AI has become an even bigger challenge. In the presentation delivered at Postgres Vision 2018, Rob Thomas, General Manager of IBM Analytics, provided answers for how companies can prepare their Information Architecture for AI, leverage containers and multi-cloud for innovation, and deliver a data and analytics strategy at scale.
Creating Agility Through Data Governance and Self-service Integration with S...SnapLogic
In July of 2015, SnapLogic announced the summer 2015 release of its SnapLogic Elastic Integration Platform, providing broader support for self-service cloud and big data integration in the enterprise. This ENTERPRISE MANAGEMENT ASSOCIATES® (EMA) impact brief details the announcement and recognizes SnapLogic’s innovation in the data integration and data governance spaces.
At Postgres Vision 2018, Lauren Nelson, Principal Analyst, Forrester, provided a look into the practical considerations that are influencing modern cloud strategies, including existing skill sets and technology limitations, the assortment of current and future cloud workloads, and the economics and realities of today's technology options.
Watch full webinar here: https://bit.ly/3mdj9i7
You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't miss it if you want to keep yourself informed about how to convert your data to strategic assets in order to complete the data-driven transformation in your company.
Watch this on-demand webinar as we cover:
- The most interesting trends in data management
- How to build a data fabric architecture?
- How to manage your data integration strategy in the new hybrid world
- Our predictions on how those trends will change the data management world
- How can companies monetize the data through data-as-a-service infrastructure?
- What is the role of voice computing in future data analytic
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Clo...Mariano Gonzalez
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
Everything you need to know about cloud migration(Build Stuff 2021)Radu Vunvulea
It is not easy to migrate to the cloud. It sounds simple initially, but during the migration, you realize that you forgot about things like governance, landing zone, and after a while, running costs are out of control. Join this session if you want to find how Cloud Adoption Framework can help us migrate our solutions to Microsoft Azure. The session is full of real-life examples and hands-on materials.
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Denodo
Watch full webinar here: https://bit.ly/3dudL6u
It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.
In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:
- Reduce the risk and minimise the disruption of migrating to the cloud.
- Make it easier and quicker for users to find the data that they need - wherever it is located.
- Provide a uniform security layer that spans hybrid and multi-cloud environments.
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014Amazon Web Services
The US government has built hundreds of applications that must be refactored to task advantage of modern distributed systems. This session discusses EzBake, an open-source, secure big data platform deployed on top of Amazon EC2 and using Amazon S3 and Amazon RDS. This solution has helped speed the US government to the cloud and make big data easy. Furthermore this session discusses critical architecture design decisions through the creation of the platform in order to add additional security, leverage future AWS offerings, and cut total operations and maintenance costs.
Sponsored by CSC
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?SnapLogic
Companies collect more data but struggle with how to glean the best insights. Use of Machine Learning also needs power data integration.
In this presentation, Janet Jaiswal, SnapLogic's VP of product marketing, reviews key strategies and technologies to deliver intelligent data via self-service ML models.
To learn more, visit https://www.snaplogic.com
Webinar | Data Management for Hybrid and Multi-Cloud: A Four-Step JourneyDataStax
Data management may be the hardest part of making the transition to the cloud, but enterprises including Intuit and Macy’s have figured out how to do it right. So what do they know that you might not? Join Robin Schumacher, Chief Product Officer at DataStax as he explores best practices for defining and implementing data management strategies for the cloud. He outlines a four-step journey that will take you from your first deployment in the cloud through to a true intercloud implementation and walk through a real-world use case where a major retailer has evolved through the four phases over a period of four years and is now benefiting from a highly resilient multi-cloud deployment.
View webinar: https://youtu.be/RrTxQ2BAxjg
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
RightScale Webinar: Hybrid Cloud Fundamentals and Lessons LearnedRightScale
Organizations everywhere are looking for the best ways to leverage cloud technologies to maximize efficiencies, minimize costs, and increase agility. Research shows that a majority of enterprises are taking a hybrid cloud approach to leverage existing hardware or to meet performance, compliance, and security requirements.
In this webinar, we cover key considerations for building and managing a private or hybrid cloud. This includes a discussion of determining appropriate workloads for hybrid clouds, customer examples, and lessons learned.
Key topics:
1. Considerations and best practices for designing and implementing a private or hybrid environment.
2. Customer examples of hybrid implementations and key lessons learned.
3. How to easily include virtualized environments into your hybrid cloud plans and implementation.
4. Cost management and analytics for your hybrid cloud.
Watch the webinar recording at:
http://video.rightscale.com/medias/sej2563yat
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.
R, Spark, Tensorflow, H20.ai Applied to Streaming AnalyticsKai Wähner
Slides from my talk at Codemotion Rome in March 2017. Development of analytic machine learning / deep learning models with R, Apache Spark ML, Tensorflow, H2O.ai, RapidMinder, KNIME and TIBCO Spotfire. Deployment to real time event processing / stream processing / streaming analytics engines like Apache Spark Streaming, Apache Flink, Kafka Streams, TIBCO StreamBase.
[Infographic] Cloud Integration Drivers and Requirements in 2015SnapLogic
SnapLogic and TechValidate queried more than 100 U.S. companies with revenues greater than $500 million about the business and technical drivers and barriers for enterprise cloud application adoption in 2015 and beyond.
You can also learn how the SnapLogic Elastic Integration Platform can help by going to www.SnapLogic.com/iPaaS.
The hybrid cloud computing market is analyzed based on four segments: solutions, service model, verticals and regions. The solutions segment includes application architecture, network integration and management systems. Application architecture segment is expected to have a major role in the hybrid cloud computing market.
According to Infoholic research, the “Worldwide Hybrid Cloud Computing Market” is expected to grow at a CAGR of 34.3% during the forecast period 2016–2022.
Postgres, the leading open source relational database, is positioned as the centerpiece of a pivot from traditional architectures to a micro-services based approach that is in full support of a DevOps motion.
Presented by Marc Linster, Senior Vice President of Product Development at EnterpriseDB, this explores how Postgres meets the key requirements for DevOps. Lister explains how Postgres is developer friendly, supporting the process with a versatile data model using JSONB, integrating other data sources using Foreign Data Wrappers, and how Postgres supports rapid deployment in the cloud and on premises.
Building the Enterprise Data Lake - Important Considerations Before You Jump InSnapLogic
In this webinar, learn from industry analyst and big data thought leader Mark Madsen about the future of big data and importance of the new Enterprise Data Lake reference architecture.
This webinar also covers what’s important when building a modern, multi-use data infrastructure, the difference between a Hadoop application and a Data Lake infrastructure, and an enterprise data lake reference architecture to get you started.
To learn more, visit: www.snaplogic.com/big-data
Connect Faster with SnapLogic at Workday RisingSnapLogic
The SnapLogic team recently attended Workday Rising in Las Vegas. In this presentation, learn how SnapLogic is the leader in Workday® integration solutions for rapidly orchestrating process and data across the human resources information system (HRIS) application landscape.
To learn more, visit: snaplogic.com/workday
Webinar: It's the 21st Century - Why Isn't Your Data Integration Loosely Coup...SnapLogic
In this webinar, learn from digital transformation and SOA thought leader Jason Bloomberg about traditional enterprise application integration (EAI), the rise of SOA and Web Services, and the latest REST and JSON initiatives.
This presentation also features a discussion of the age-old problem of implementing loosely coupled data integration, an architectural approach to solving this difficult problem and a demonstration of SnapLogic.
To learn more, visit: www.snaplogic.com/connect-faster
Webinar: The 5 Most Critical Things to Understand About Modern Data IntegrationSnapLogic
In this webinar, we talk to industry analyst, author and practitioner David Linthicum who provides a state-of-the-technology explanation of big data integration.
David also provides 5 critical and lesser known data integration requirements, how to understand today's requirements, and guidance for choosing the right approaches and technology to solve these problems.
To learn more, visit: www.snaplogic.com/big-data
As open source databases become the enterprise standard, making all data available and accessible for AI has become an even bigger challenge. In the presentation delivered at Postgres Vision 2018, Rob Thomas, General Manager of IBM Analytics, provided answers for how companies can prepare their Information Architecture for AI, leverage containers and multi-cloud for innovation, and deliver a data and analytics strategy at scale.
Creating Agility Through Data Governance and Self-service Integration with S...SnapLogic
In July of 2015, SnapLogic announced the summer 2015 release of its SnapLogic Elastic Integration Platform, providing broader support for self-service cloud and big data integration in the enterprise. This ENTERPRISE MANAGEMENT ASSOCIATES® (EMA) impact brief details the announcement and recognizes SnapLogic’s innovation in the data integration and data governance spaces.
At Postgres Vision 2018, Lauren Nelson, Principal Analyst, Forrester, provided a look into the practical considerations that are influencing modern cloud strategies, including existing skill sets and technology limitations, the assortment of current and future cloud workloads, and the economics and realities of today's technology options.
Watch full webinar here: https://bit.ly/3mdj9i7
You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't miss it if you want to keep yourself informed about how to convert your data to strategic assets in order to complete the data-driven transformation in your company.
Watch this on-demand webinar as we cover:
- The most interesting trends in data management
- How to build a data fabric architecture?
- How to manage your data integration strategy in the new hybrid world
- Our predictions on how those trends will change the data management world
- How can companies monetize the data through data-as-a-service infrastructure?
- What is the role of voice computing in future data analytic
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Clo...Mariano Gonzalez
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
Everything you need to know about cloud migration(Build Stuff 2021)Radu Vunvulea
It is not easy to migrate to the cloud. It sounds simple initially, but during the migration, you realize that you forgot about things like governance, landing zone, and after a while, running costs are out of control. Join this session if you want to find how Cloud Adoption Framework can help us migrate our solutions to Microsoft Azure. The session is full of real-life examples and hands-on materials.
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Denodo
Watch full webinar here: https://bit.ly/3dudL6u
It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.
In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:
- Reduce the risk and minimise the disruption of migrating to the cloud.
- Make it easier and quicker for users to find the data that they need - wherever it is located.
- Provide a uniform security layer that spans hybrid and multi-cloud environments.
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014Amazon Web Services
The US government has built hundreds of applications that must be refactored to task advantage of modern distributed systems. This session discusses EzBake, an open-source, secure big data platform deployed on top of Amazon EC2 and using Amazon S3 and Amazon RDS. This solution has helped speed the US government to the cloud and make big data easy. Furthermore this session discusses critical architecture design decisions through the creation of the platform in order to add additional security, leverage future AWS offerings, and cut total operations and maintenance costs.
Sponsored by CSC
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?SnapLogic
Companies collect more data but struggle with how to glean the best insights. Use of Machine Learning also needs power data integration.
In this presentation, Janet Jaiswal, SnapLogic's VP of product marketing, reviews key strategies and technologies to deliver intelligent data via self-service ML models.
To learn more, visit https://www.snaplogic.com
Webinar | Data Management for Hybrid and Multi-Cloud: A Four-Step JourneyDataStax
Data management may be the hardest part of making the transition to the cloud, but enterprises including Intuit and Macy’s have figured out how to do it right. So what do they know that you might not? Join Robin Schumacher, Chief Product Officer at DataStax as he explores best practices for defining and implementing data management strategies for the cloud. He outlines a four-step journey that will take you from your first deployment in the cloud through to a true intercloud implementation and walk through a real-world use case where a major retailer has evolved through the four phases over a period of four years and is now benefiting from a highly resilient multi-cloud deployment.
View webinar: https://youtu.be/RrTxQ2BAxjg
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
RightScale Webinar: Hybrid Cloud Fundamentals and Lessons LearnedRightScale
Organizations everywhere are looking for the best ways to leverage cloud technologies to maximize efficiencies, minimize costs, and increase agility. Research shows that a majority of enterprises are taking a hybrid cloud approach to leverage existing hardware or to meet performance, compliance, and security requirements.
In this webinar, we cover key considerations for building and managing a private or hybrid cloud. This includes a discussion of determining appropriate workloads for hybrid clouds, customer examples, and lessons learned.
Key topics:
1. Considerations and best practices for designing and implementing a private or hybrid environment.
2. Customer examples of hybrid implementations and key lessons learned.
3. How to easily include virtualized environments into your hybrid cloud plans and implementation.
4. Cost management and analytics for your hybrid cloud.
Watch the webinar recording at:
http://video.rightscale.com/medias/sej2563yat
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.
R, Spark, Tensorflow, H20.ai Applied to Streaming AnalyticsKai Wähner
Slides from my talk at Codemotion Rome in March 2017. Development of analytic machine learning / deep learning models with R, Apache Spark ML, Tensorflow, H2O.ai, RapidMinder, KNIME and TIBCO Spotfire. Deployment to real time event processing / stream processing / streaming analytics engines like Apache Spark Streaming, Apache Flink, Kafka Streams, TIBCO StreamBase.
[Infographic] Cloud Integration Drivers and Requirements in 2015SnapLogic
SnapLogic and TechValidate queried more than 100 U.S. companies with revenues greater than $500 million about the business and technical drivers and barriers for enterprise cloud application adoption in 2015 and beyond.
You can also learn how the SnapLogic Elastic Integration Platform can help by going to www.SnapLogic.com/iPaaS.
The hybrid cloud computing market is analyzed based on four segments: solutions, service model, verticals and regions. The solutions segment includes application architecture, network integration and management systems. Application architecture segment is expected to have a major role in the hybrid cloud computing market.
According to Infoholic research, the “Worldwide Hybrid Cloud Computing Market” is expected to grow at a CAGR of 34.3% during the forecast period 2016–2022.
The Impact of SMACT on the Data Management StackSnapLogic
This presentation introduces the concept of the "Integrator's Dilemma" and reviews some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.
To learn more, visit http://www.snaplogic.com/ipaas
Mobile Cloud Computing : The Upcoming Trend !Sai Natkar
Cloud computing and mobile technologies are the two most talked about trends in this century. Mobile Cloud Computing is an infrastructure where both the data storage and processing happens outside the mobile device. With the help of mobile Cloud Applications computing power and data storage is moved away from the mobile devices into centralized computing platforms located in clouds. It is like two or more innovations blend together to produce something more amazing.
Asyma E3 2014 The Impact of Cloud Computing on SME'sasyma
Why do you use the “CLOUD”? Do you want to? Do you have a choice? What does it cost to participate? What impact does Cloud Computing have on my business and why should I care? We’ll look at the cloud from both sides now.
Data and Application Modernization in the Age of the Cloudredmondpulver
Data modernization is key to unlocking the full potential of your IT investments, both on premises and in the cloud. Enterprises and organizations of all sizes rely on their data to power advanced analytics, machine learning, and artificial intelligence.
Yet the path to modernizing legacy data systems for the cloud is full of pitfalls that cost time, money, and resources. These issues include high hardware and staffing costs, difficulty moving data and analytical processes to cloud environments, and inadequate support for real-time use cases. These issues delay delivery timelines and increase costs, impacting the return on investment for new, cutting-edge applications.
Watch this webinar in which James Kobielus, TDWI senior research director for data management, explores how enterprises are modernizing their mainframe data and application infrastructures in the cloud to sustain innovation and drive efficiencies. Kobielus will engage John de Saint Phalle, senior product manager at Precisely, in a discussion that addresses the following key questions:
When should enterprises consider migrating and replicating all their data assets to modern public clouds vs. retaining some on-premises in hybrid deployments?How should enterprises modernize their legacy data and application infrastructures to unlock innovation and value in the age of cloud computing?What are the key investments that enterprises should make to modernize their data pipelines to deliver better AI/ML applications in the cloud?What is the optimal data engineering workflow for building, testing, and operationalizing high-quality modern AI/ML applications in the cloud?What value does real-time replication play in migrating data and applications to modern cloud data architectures?What challenges do enterprises face in ensuring and maintaining the integrity, fitness, and quality of the data that they migrate to modern clouds?What tools and methodologies should enterprise application developers use to refactor and transform legacy data applications that have migrated to modern clouds
Webinar presentation March 9, 2017
IT environments are now fundamentally hybrid in nature – devices, systems, and people are spread across the globe, and at the same time virtualized. Achieving integration across this ever changing environment, and doing so at the pace of modern digital initiatives, is a significant challenge.
This presentation introduces a hybrid integration reference architecture published by the Cloud Standards Customer Council. Learn best practices from leading-edge enterprises that are starting to leverage a hybrid integration platform to take advantage of best of breed cloud-based and on-premises integration approaches.
This webinar draws from the CSCC's deliverable, Cloud Customer Architecture for Hybrid Integration. Read it here: http://www.cloud-council.org/deliverables/cloud-customer-architecture-for-hybrid-integration.htm
Accelerate Migration to the Cloud using Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/2JuD9NC
Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby data virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.
In this webinar, you'll learn:
- How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
- Best practices of deploying the Denodo Platform in the cloud.
- Leverage Denodo's virtual data services layer to address and augment cloud solutions such as data warehouse modernization, data science, and data lakes in the cloud.
- Watch a demo showcasing data virtualization and analytics in the cloud.
Evolving From Monolithic to Distributed Architecture Patterns in the CloudDenodo
Watch full webinar here: https://goo.gl/rSfYKV
Gartner states in its Predicts 2018: Data Management Strategies Continue to Shift Toward Distributed,
“As data management activities are becoming more widespread in both distributed processing use cases, like IoT, and demands for new types of data, emerging roles such as data scientists or data engineers are expected to be driving the new data management requirements in the coming two years. These trends indicate that both the collection of data as well as the need to connect to data are rapidly becoming the new normal, and that the days of a single data store with all the data of interest — the enterprise data warehouse — are long gone.”
Data management solutions are becoming distributed, heterogeneous and extremely diverse.
Attend this session to learn:
• How to evolve architecture patterns in the cloud using data virtualization.
• How data virtualization accelerates cloud migration and modernization.
• Successful cloud implementation case studies.
The Data Center Is The Heartbeat of Today's IT Transformation (ENT215) | AWS ...Amazon Web Services
(Presented by CoreSite) The cloud-enabled data center sits at the center of IT transformation. It facilitates the interconnection and communities that come together, propelling growth for both buyers and sellers. Learn how CoreSite is bringing together best-of-breed partners through the Open Cloud Exchange, resulting in public, private, and hybrid IT interconnection and management as well as integration of AWS Direct Connect.
Data Governance for the Cloud with Oracle DRMUS-Analytics
Ready to move away from “hope, email and spreadsheets” as a strategy for maintaining system alignments? There’s a better way. Find out how to bring people, processes, and technology together for control over ever-changing enterprise reporting hierarchies and data.
So You Need To Build A Private Cloud. What Now? Best Practices For Building Y...Dell World
Moving from infrastructure-centric IT to efficient, software-driven private or hybrid cloud requires more than gluing together knobs and gears. In addition to the infrastructure considerations, special attention needs to be paid to tying business workflows and organizational processes to IT processes to optimize application delivery and increase productivity for your users and customers. How you approach cloud-building to make it really usable by the business is the key to success.
Business critical systems—off-the-shelf systems, custom-built applications, or software-as-a-service—consist of many logical end points. However, they are all common in exposing a set of inputs and a set of outputs. They also produce and consume data of different forms, custom binary or a standard format like XML, EDI, JSON, and so on. This data needs to follow a particular protocol—TCP/IP, HTTP, or FTP—in order to ensure seamless communication between different end points.
Integration is a buzzword we hear all the time, but what does it really mean? Essentially, integration is the act of allowing these different end points to work together in meaningful ways to accomplish business value. IBM IIB version 10 provides a significant leap forward from version 9 and provides key enhancements in terms of experience as well as capabilities. Join us to see the difference and learn how it may serve you in your Digital Transformation journey.
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Defect reporting
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-------------------------------------------
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2. Today’s Agenda
Carl Lehmann
Research Manager, 451 Research
Erin Curtis
Product Marketing, SnapLogic
• Hybrid Cloud Integration:
Why it’s Different and Why it Matters
• SnapLogic Introduction
• Discussion and Next Steps
Craig Stewart
Product Management, SnapLogic
4. 451 Research is an information
technology research advisory company
4
Founded in 2000
210+ employees, including over 100 analysts
1,000+ clients: Technology Service providers, corporate
advisory, finance, professional services, and IT decision makers
15,000+ senior IT professionals in our research community
Over 52 million data points each quarter
4,500+ reports published each year covering 2,000+
innovative technology service providers
Headquartered in New York City with offices in London,
Boston, San Francisco, and Washington D.C.
451 Research and its sister company Uptime Institute
comprise the two divisions of The 451 Group
Research Data
Advisory Services
Events
5. 5
Hybrid Cloud Integration: Why it’s Different and Why it Matters
• The business and technical trends driving hybrid cloud integration
• How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
• Cloud integration challenges and how to overcome them
• A reference architecture and best practices for crafting integration strategy
5
6. 6
Hybrid Cloud Integration: Why it’s Different and Why it Matters
• The business and technical trends driving hybrid cloud integration
• How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
• Cloud integration challenges and how to overcome them
• A reference architecture and best practices for crafting integration strategy
6
7. 7
First, integration warrants a baseline definition of hybrid cloud
Hybrid cloud is not…
• Colocation with multiple providers
• Disparate applications running in multiple public clouds
• In these examples the applications and the underlying infrastructure do not interoperate
Hybrid cloud is…
• Simply a delivery model
• It consists of two or more distinct cloud infrastructures and on-premises infrastructure that remain
unique entities, all coordinated by standardized or proprietary technology, and interoperate to
deliver seamless business functions
7
8. Cloud computing projects
Q. What are your organization’s top cloud computing related projects in the next 12 months?
Select up to 3. n=161
8
?
?
9. Spending change for cloud computing 2014 2015 = shifting workloads
9
More
year-‐over-‐year
Spending,
Shi2ing
toward
ITaaS
Less
year-‐over-‐year
spending
10. The road to hybrid cloud is private
Q. Has your organization configured any of the following clouds for interoperability? n=2002
10
11. 11
Not just clouds, trends driving IT = speed, time to market and quality
• Virtualization
• Software-defined infrastructure (converged and automated)
• Agile application development
• Continues integration/continuous delivery (CI/CD)
• DevOps
• Big data and analytics
• IT-as-a-Service (ITaaS)
• The commoditization of IT
• Mobility
• The ‘API Economy’
• The Internet of Things (IoT)
11
Common
denominators:
data,
applica3ons
and
how
to
integrate
them!
13. …how to integrate processes for speed, time to market and quality!
13
SaaS
IaaS
PaaS
Hybrid
On
Premises
14. A key question to ask is…
How
does
all
this
effect
the
way
I
integrate
data
and
applica:ons?
14
15. 15
Hybrid Cloud Integration: Why it’s Different and Why it Matters
• The business and technical trends driving hybrid cloud integration
• How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
• Cloud integration challenges and how to overcome them
• A reference architecture and best practices for crafting integration strategy
15
16. 16
Hybrid cloud integration explained
Hybrid cloud defined
• Hybrid cloud is simply a delivery model – it consists of two or more distinct cloud infrastructures that remain unique entities,
coordinated by standardized or proprietary technology, and interoperate to deliver seamless business functions
What is hybrid cloud integration? (two perspectives)
• Tactical: enables the data and process flows between any number and type of cloud services with any number and type of in-
place IT systems
• Strategic: enables cloud services to be dynamically consumed within IT architecture and exploited on demand for their price/
performance and elasticity advantages
What makes HCI different from traditional A2A and B2B integration?
• Application-to-Application (A2A) deals little with issues beyond the firewall, emphasizes logic and work
• Business-to-Business (B2B) deals little with app logic, emphasizes security and data flow
HCI must deal with both, and…
• Must address data ownership as it transcends boundaries (on-premises, clouds, sovereignty); process orchestration and
GRC (governance, risk and compliance)
• Must help redeploy workloads on-demand to exploit the ‘best execution venue’ (BEV) based on workload profile, policies,
SLA requirements, and process and integration dependencies – without breaking
What is a HCI reference architecture?
• A blueprint of goals, practices, tools and techniques used for data and application integration across clouds
• A framework for assembling the integration technology needed for hybrid IT
16
17. 17
Hybrid Cloud Integration: Why it’s Different and Why it Matters
• The business and technical trends driving hybrid cloud integration
• How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
• Cloud integration challenges and how to overcome them
• A reference architecture and best practices for crafting integration strategy
17
18. 18
Integration challenges and how to overcome them
Integrations must cope with…
• Slow and unreliable networks
• Applications born of different languages, operating environments
• Disparate data formats, quality and transfer techniques
• Change
Integration developers have responded using several basic approaches
• File Transfer
• Used when one app needs to write a file that another application can read
• A Shared Database
• Used when multiple apps need to share a common database and does not need to duplicate data
• Remote Procedure Invocation
• Used when one app needs to expose functionality to another remote app in real-time (synchronous)
• Messaging
• Used when apps need to expose messages (data payload) to a message channel that can be read later by other app
(asynchronous)
• Data management
• Transfer, translate, transform, normalize, enrich, profile, relate context, federate, synchronize, enable big data
18
19. 19
Many integration and data management technologies already in place
Message-oriented middleware (MOM) provides a communications layer to integrate applications
Managed File Transfer (MFT) and File Transfer Protocol (FTP) secure delivery of files that do not need standardization or
transformation
Electronic data interchange (EDI) B2B network exchange of standardized electronic documents
Extract, Transform, Load (ETL) (ELT) extracts data from one system to make it usable to another
Enterprise application integration (EAI) extends MOM with prepackaged connectors used to link to popular application packages
Message Queues (MQs) asynchronous communications, needed when nodes of distributed systems are unavailable due to fault
Message Brokers (MBs) enable message validation, transformation and routing
Enterprise Service Bus (ESB) integrates disparate applications via a communication bus; enables orchestration, transformation,
intelligent routing and mediation
Application Programming Interfaces (APIs) used for A2A and to allow third parties to add value to applications
Data Quality Management (DQM) to improve and verify the reliability and efficiency of data
Master Data Management (MDM) federate, aggregate data to provide a common point of reference
Hadoop to store and process distributed big data
NoSQL for non-relational storage and retrieval of big data
MapReduce for scalability across very large arrays of servers in Hadoop clusters
Not to mention emerging IoT protocols: MQTT, XMPP, DDS, AMQP, CoAP
19
Enabled
via
SW
toolkits,
HW
appliances,
clouds
or
managed
services
All
will
remain,
but
orchestra3on
will
drive
reconfigura3on
based
on
need…
20. 20
Tooling reconfiguration will be based on need: cloud integration waves
First wave addressed on-premises to SaaS data-loading
• Little data quality management
• Accessibly and security entrusted to the SaaS providers
Second wave occurs when…
• SaaS deployments accelerate
• Data quality begins to matter
• Cross-functional processes exchange data among on-premises and SaaS systems (hybrid IT)
• Other applications are offloaded to IaaS and PaaS (workloads shift)
Third wave occurs when…
• Big data becomes a real strategic initiative in an enterprise
• Value can be derived from intelligently managing the Internet of Things (IoT) – operational technology (OT) automation, IT meets OT
Orchestration and control must be addressed to include…
• Central coordination and collaboration of integration designs
• Distributed run-time execution of integrations on-premises and in clouds
• Effective data preparation techniques for ‘total data’ (structured, big, unstructured, batch, synchronous, asynchronous, streaming)
• Coordinated reporting, administration, trouble-shooting and audit control (visibility)
• Data flow and business process orchestration
Will require a cloud strategy and hybrid (multi) cloud integration reference architecture
• A blueprint of goals, methods, practices, tools and techniques
• A framework for design, testing, deployment, measurement and management to all integrations
20
21. 21
Hybrid Cloud Integration: Why it’s Different and Why it Matters
• The business and technical trends driving hybrid cloud integration
• How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
• Cloud integration challenges and how to overcome them
• A reference architecture and best practices for crafting integration strategy
21
22. A hybrid multi-cloud integration reference architecture (common today)
Internet
Hosted,
Managed
Services
Private
Cloud(s)
Security
Strategy/Stack
MulC-‐Clouds
Start/End
points
Security-‐as-‐a-‐
Service
ConnecCvity
Services,
WAN/VPN
API
Services
IntegraCon
Process
Data
Systems
of
Record
Databases
Metadata
Repositories
Services
Repositories
iPaaS(s)
Systems
of
Engagement
(ApplicaCons),
Business
Logic,
Mashups,
Social
Business
PaaS/IaaS
SaaS(s)
Firewall
/
DMZ
/
Secure
Gateways
Process
OrchestraCon
(Dataflow,
Workflow),
Event
Management
Data
Hub,
Big
Data
(Hadoop,
NoSQL),
MDM,
Quality
Mgmt.,
TranslaCon,
TransformaCon,
Enrichment
Enterprise
Service
Bus
(ESB)
API
Portal/
Gateway
ConnecCvity,
Networks
and
Network
Management
Source:
Carl
F.
Lehmann
carl.lehmann@451research.com
Message
Queuing
iPaaS
Design
Browsers
PCs,
Tablets
B2B
Phones
Governance
(Rules,
Policies)
User
Services
Core
components
• Process
orchestraCon
components
enable
control
of
events,
data
and
workflows
• IntegraCon
components
provide
synchronous
and
asynchronous
connecCvity
for
batch,
real-‐
Cme
and
streaming
data
flows
–
internal
and
external
to
the
enterprise
• Data
management
components
manage
the
quality,
purpose
and
use
of
data
from
capture
through
consumpCon
Deploy
technologies
needed
for:
• ApplicaCon-‐to-‐ApplicaCon
(A2A)
• Business-‐to-‐Business
(B2B)
• ApplicaCon-‐to-‐Cloud
(A2C)
• Cloud-‐to-‐Cloud
(C2C)
• Variants
as
needed
of
A2B2C
22
Self
Service
Catalogs,
AppStore,
Provisioning
IdenCty
Access
Mgmt.,
SSO
Hybrid
Cloud
Components
ETL
23. 23
But remember – trends driving IT = speed, time to market and quality
• Virtualization
• Software-defined infrastructure (converged and automated)
• Agile application development
• Continues integration/continuous delivery (CI/CD)
• DevOps
• Big data and analytics
• IT-as-a-Service (ITaaS)
• The commoditization of IT
• Mobility
• The ‘API Economy’
• The Internet of Things (IoT)
23
Common
denominators:
data,
applicaCons
and
how
to
integrate
them
Will
drive
the
HCI
reference
architecture
to
reconfigure
and
converge…
24. A hybrid multi-cloud integration reference architecture (to support IT trends)
24
Internet
Hybrid
Mul3-‐Cloud
Integra3on
Reference
Architecture
Hosted,
Managed
Services
Private
Cloud(s)
Security
Strategy/Stack
MulC-‐Clouds
Start/End
points
Security-‐as-‐a-‐
Service
ConnecCvity
Services,
WAN/VPN
API
Services
Systems
of
Record
Databases
Metadata
Repositories
Services
Repositories
iPaaS(s)
Systems
of
Engagement
(ApplicaCons),
Business
Logic,
Mashups,
Social
Business
PaaS/IaaS
SaaS(s)
Firewall
/
DMZ
/
Secure
Gateways
Process
Orchestra3on
(Dataflow,
Workflow),
Event
Management
Data
Hub,
Big
Data
(Hadoop,
NoSQL)
,
MDM,
Quality
Mgmt.,
Transla3on,
Transforma3on,
Enrichment
ConnecCvity,
Networks
and
Network
Management
Source:
Carl
F.
Lehmann
carl.lehmann@451research.com
Browsers
PCs,
Tablets
B2B
Phones
Governance
(Rules,
Policies)
User
Services
Hybrid
Mul3-‐Cloud
Services
Self
Service
Catalogs,
AppStore,
Provisioning
IdenCty
Access
Mgmt.,
SSO
Enterprise
Service
Bus
(ESB),
Message
Queuing,
ETL,
iPaaS
Design
Management,
API
Management,
IoT
Integra3on
Services
Process
Services
Data
Services
Ø Technology
prolifera3on
will
drive
users
to
consolidate
vendors
Ø The
pursuit
of
subs3tu3ons
that
consolidate
func3ons
will
increase
Ø The
ability
to
redeploy
to
BEV
on
either
side
of
the
firewall
will
be
sought
Converged
capabiliCes
• Process
services
enable
orchestraCon
of
events,
data
and
workflows
• IntegraCon
services
provide
synchronous
and
asynchronous
connecCvity
for
batch,
real-‐Cme
and
streaming
data
flows
–
internal
and
external
to
the
enterprise
• Data
services
manage
the
quality,
purpose
and
use
of
data
from
capture
through
consumpCon
Configure
paberns
and
templates
for:
• ApplicaCon-‐to-‐ApplicaCon
(A2A)
• Business-‐to-‐Business
(B2B)
• ApplicaCon-‐to-‐Cloud
(A2C)
• Cloud-‐to-‐Cloud
(C2C)
• Variants
as
needed
of
A2B2C
Devices,
Things
25. 25
Best practices for hybrid cloud integration
Craft a cloud strategy
• Goals, methods, practices, tools and techniques
• Under what conditions, do what workloads shift, to what execution venue?
• Plan to streamline cross-functional processes across cloud and on premise venues to minimize
complexity and integration execution overhead
• Craft rules for private vs. public cloud use (cloudbursting ‘elasticity’ strategy)
Define a hybrid multi-cloud integration reference architecture
• Use it to manage integration strategy and proactively plan for changing business and technology
needs
Seek platforms that unify data and application integration functions
• To simplify tooling and enable consistency for development, execution and management
• To enable the second wave of cloud integration (expanded private cloud, hybrid IT and ITaaS)
• To support the third wave of cloud integration (actionable intelligence from big data)
25
29. Productive: UX for Citizen and Advanced Users
We can do more in two hours with
SnapLogic than we could in two days
with traditional solutions.
• Integration Cloud: Design, Admin, Monitoring
• Drag, Drop, Connect HTML5 interface built for speed
31. Modern Architecture: Hybrid and Elastic
Streams: No data is
stored/cached
Secure: 100%
standards-based
Elastic: Scales out
handles data and app
integration use cases
Metadata
Data
Databases Enterprise Systems Hadoop
32. Modern Architecture: Real-Time and Batch
Ultra Pipelines SnapReduce and the Hadooplex
Map Reduce
Certified YARN Execution
33. Connected: 300+ Snaps
We look at SnapLogic as an opportunity to
think differently about integration.
34. Common SnapLogic Use Cases
Cloud App
Integration
• Workday: HR On-
Boarding
• Salesforce: CRM Back
Office
• Eliminate SaaS Silos
Digital
Marketing
• AWS Redshift
• Tableau, Social, CRM
• Cloud Analytics
Big Data
Analytics
Enterprise
Platform
• Data Ingestion
• Data Preparation
• Data Delivery
• Self Service
• Data, Apps, APIs
• Integrator’s Solution
36. Discussion and Next Steps
@SnapLogic
Facebook.com/SnapLogic
Carl Lehmann
Research Manager, 451 Research
See SnapLogic
in action:
Contact us: info@snaplogic.com
http://video.snaplogic.com/