Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
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This document summarizes a 6-session presentation on using data virtualization to solve key data integration challenges. The first session introduces data virtualization, covering how it can make business intelligence more agile, integrate big data, combine service-oriented architecture with data integration, enhance master data management and data warehousing, and create a single view of the customer. The presentation agenda is outlined and includes explanations of data virtualization, how it enhances existing architectures, demonstrations of its capabilities, Q&A, and next steps. Customer case studies show data virtualization delivering cost savings, productivity improvements, and faster access to new data sources and reports.
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
- 1. © 2013 Denodo Technologies 6 Sessions Covering Key Data Integration Challenges Solved with Data Virtualization Session 1: Data Virtualization: An Introduction Topics covered: *Making BI agile *Integrating Big Data *Combining SOA and Data Integration *Enhancing and Extending MDM and DW *Creating a single view of your customer
- 2. © 2013 Denodo Technologies Today’s Speakers ■ Paul Moxon Senior Director, Product Management ■ Tom Forman Senior Solutions Consultant
- 3. © 2013 Denodo Technologies Agenda ■ What is Data Virtualization and why is it important ■ How Data Virtualization enhances existing data architectures ■ Demonstration of Data Virtualization capabilities ■ Summary ■ Q&A and Next Steps
- 4. © 2013 Denodo Technologies Agenda ■ What is Data Virtualization and why is it important ■ How Data Virtualization enhances existing data architectures ■ Demonstration of Data Virtualization capabilities ■ Summary ■ Q&A and Next Steps
- 5. © 2013 Denodo Technologies Enterprise Data Challenges Getting Bigger Inventory System (MS SQL Server) Log files (.txt/.log files) CRM (MySQL) Billing System (Web Service - Rest) Big Data, Cloud (Hadoop, Web) Product Catalog (Web Service -SOAP) Customer Voice (Internet, Unstruc) Product Data (CSV) Exponential Data Growth Data Silos IT Complexity, Rigidity Inherent Latency Move to Cloud Unstructured & Web High Costs Agile BI, big data, cloud, real-time, unstructured… these are some of the trends driving need for a new data approach to complement existing ones
- 6. © 2013 Denodo Technologies What is Data Virtualization? Data Virtualization combines disparate data sources into a single “virtual” data layer that provides unified access and integrated data services to consuming applications in real-time (right-time) BASE VIEW BASE VIEW BASE VIEW DERIVED VIEW Connect & Virtualize Combine & Integrate Publish as a Data Service
- 7. © 2013 Denodo Technologies Data Virtualization – Key Tenets ■ Realize Value from all Data • Universal data access across internal, external, web, structured or unstructured ■ Virtualization Minimizes Replication • Flexible integration options with fine control – virtual real-time, cached or scheduled batch ■ Abstracted and Unified Data Services • Abstracted data delivered as reusable data services Managed access control, service levels ■ Enterprise Class – Powerful and Agile • Performance and scalability • Data governance, lineage, management • Easily integrated into existing IT infrastructure
- 8. © 2013 Denodo Technologies Agenda ■ What is Data Virtualization and why is it important ■ How Data Virtualization enhances existing data architectures ■ Demonstration of Data Virtualization capabilities ■ Summary ■ Q&A and Next Steps
- 9. © 2013 Denodo Technologies Consumers Sources Data Virtualization – Key architectural capabilities ■ Abstraction – decouple data complexities from the business logic ■ Logical Representation – define canonical data models for business unit and enterprise ■ Centralized Governance – common model for security and data lineage ■ Real/Right-time Data Access – data on demand, cached or scheduled batch ■ Lighter Agile Integration – reusable models are easy to transform, combine, change ■ Reduced Replication Costs – HW, SW, governance costs of unnecessary data replication ■ Integrates with Existing Tools – leveraged through hybrid models ETL DW DM ODS Virtual Data Layer
- 10. © 2013 Denodo Technologies Data Virtualization Platform Architecture DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization Design Tools Optimizer Cache Scheduler Monitoring Governance Metadata Security Publish Real-time (Right-time) Data Services Combine Transform, Improve Quality, Integrate Connect Normalized Views of Disparate Data Denodo Platform Library of Wrappers Web Automation Any Data or Content Read and Write DataSources Databases & Warehouses Enterprise Applications Cloud / SaaS Applications XML, Excel, Flat Files Big Data, NoSQL Web 2.0 Soc. Media PDF, Docs, Index, Emails More Structured Less Structured Business Solutions Access Information- as- a-Service Denodo Platform Right Information at the Right Time Disparate Data Any Source Any Format Multiple Protocols, Formats Linked Data Services Query, Search, Browse Request/Reply, Event Driven Secure Delivery
- 11. © 2013 Denodo Technologies Data Virtualization Platform Architecture DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization Design Tools Optimizer Cache Scheduler Monitoring Governance Metadata Security Publish Real-time (Right-time) Data Services Combine Transform, Improve Quality, Integrate Connect Normalized Views of Disparate Data Denodo Platform Library of Wrappers Web Automation Any Data or Content Read and Write DataSources Databases & Warehouses Enterprise Applications Cloud / SaaS Applications XML, Excel, Flat Files Big Data, NoSQL Web 2.0 Soc. Media PDF, Docs, Index, Emails More Structured Less Structured Business Solutions Access Information- as- a-Service Denodo Platform Right Information at the Right Time Disparate Data Any Source Any Format Multiple Protocols, Formats Linked Data Services Query, Search, Browse Request/Reply, Event Driven Secure Delivery Universal Data Access Agile High Performance Universal Data Publishing Unified Data Governance Unified Virtual Data Layer
- 12. © 2013 Denodo Technologies • Real-time Reporting • Unified Dashboards • Virtual Logical DW/Marts • Big Data/Predictive Analytics • Self-Service & Mobile BI • Customer Single View - Call Center, Portals • Data Services for BPM • Operational Decision Data • Unified Desktops - Underwriting, Loans, • Big Data for Enterprise • Cloud/SaaS Integration • Web Data Aggregation • Social Media, Feedback • Multi-structured • Linked Data Services (IaaS) • Unified Data Layer • Logical Data Abstraction – Migration/Modernization • Data Mashups • Unified Source of Reference - Virtual MDM Typical Data Virtualization Use Cases • DS for Mobile Apps Agile Business Intelligence Unified View Big Data, Cloud Integration Data Services
- 13. © 2013 Denodo Technologies Data Virtualization – Customers Agile Business Intelligence Unified View Big Data, Cloud Integration Data Services
- 14. © 2013 Denodo Technologies Data Virtualization – Customer Success Cost savings of $600,000 and 15% ROI in 3 months to deliver secure and timely manner information 50% improvement in productivity with 75% reduction in-store waiting times and 87% reduction in errors due to manual data input Access new data sources 60% faster with change requests met in just a few days with IT using 40% less analyst time to support. New suite of agile reports to sales & management in 3X the speed with 1/3rd the team size Agile Business Intelligence Unified View Big Data, Cloud Integration Data Services
- 15. © 2013 Denodo Technologies Agenda ■ What is Data Virtualization and why is it important ■ How Data Virtualization enhances existing data architectures ■ Demonstration of Data Virtualization capabilities ■ Summary ■ Q&A and Next Steps
- 16. © 2013 Denodo Technologies Agenda ■ What is Data Virtualization and why is it important ■ How Data Virtualization enhances existing data architectures ■ Demonstration of Data Virtualization capabilities ■ Summary ■ Q&A and Next Steps
- 17. © 2013 Denodo Technologies Consumers Sources Data Virtualization – Key architectural capabilities ■ Abstraction – decouple data complexities from the business logic ■ Logical Representation – define canonical data models for business unit and enterprise ■ Centralized Governance – common model for security and data lineage ■ Real/Right-time Data Access – data on demand, cached or scheduled batch ■ Lighter Agile Integration – reusable models are easy to transform, combine, change ■ Reduced Replication Costs – HW, SW, governance costs of unnecessary data replication ■ Integrates with Existing Tools – leveraged through hybrid models Virtual Data Layer ETL DW DM ODS
- 18. © 2013 Denodo Technologies Better Quality Information Focus on business information needs Integrate disparate data silos Include Web/Cloud, Big Data, unstructured Lower Cost & Increased Agility Lower integration costs by 80% Flexibility to Change Real-time (Right-time) Data Services Fast Time to Solution Projects in 4-6 weeks ROI in <6 months Adds new IT and Business capabilities Data Virtualization Benefits - Summary
- 19. © 2013 Denodo Technologies Agenda ■ What is Data Virtualization and why is it important ■ How Data Virtualization enhances existing data architectures ■ Demonstration of Data Virtualization capabilities ■ Customer Successes ■ Q&A and Next Steps
- 20. © 2013 Denodo Technologies Data Virtualization – Questions?
- 21. © 2013 Denodo Technologies Data Virtualization - Next Steps Move forward at your own pace Whitepaper: Data Virtualization Goes Mainstream – Solving Key Data Integration Challenges Where Traditional Technologies Fall Short http://www.denodo.com/en/resources/whitepapers/data_virtualization/index.php Attend Packed Lunch Webinar Sessions – Covering Data Virtualization for… Move forward with one of our Data Virtualization experts Phone: (877) 556-2531 | Email: info@denodo.com www.denodo.com Making BI Agile Integrating Big Data Combining SOA and Data Integration Enhancing and Extending MDM and DW Creating a Single View of Your Customer
- 22. © 2013 Denodo Technologies Next Session: Topics covered: *Making BI agile *Integrating Big Data *Combining SOA and Data Integration *Enhancing and Extending MDM and DW *Creating a single view of your customer Thank You! Delivering an Agile BI Strategy with Data Virtualization Wednesday, May 14th 2014 Register Now