DATA VIRTUALIZATION PACKED LUNCH WEBINAR SERIES
Sessions Covering Key Data Integration Challenges Solved with Data Virtualization
Data Virtualization: An Introduction
Paul MoxonVP Data Architectures & Chief Evangelist, Denodo
Agenda1. Data Virtualization: An Introduction
2. Denodo’s ‘Packed Lunch’ Webinar Series
3. Q&A
4. Next Steps
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Data Virtualization: An Introduction
Data Integration – “The Way We Were…”
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OperationalData Stores
Staging Area Data Warehouse Data Marts Analytics andReporting
ETLETLETL
Data Integration – A Modern Data Ecosystem
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The Data Integration Challenge
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Manually access different systems
IT responds with point-to-point data integration
Takes too long to get answers to business users
MarketingSales ExecutiveSupport
Database
AppsWarehouse Cloud
Big Data
Documents AppsNo SQL“Data bottlenecks create business bottlenecks.” – Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
The Solution – A Data Abstraction Layer
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Abstracts access to disparate data sources
Acts as a single repository (virtual)
Makes data available in real-time to consumers
DATA ABSTRACTION LAYER
“Enterprise architects must revise their data architecture to meet the demand for fast data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
Data Virtualization
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“Data virtualization integrates disparate data sources in real time or near-real time to meet demands for analytics and transactional data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
Publishes the data to applications
Combines related data into views
Connects to disparate data sources
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Data Virtualization Reference Architecture
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Confluence of Ecosystems
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Common Data Virtualization Use Cases
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− Gartner, Predicts 2017: Data Distribution and Complexity Drive Information Infrastructure Modernization, Ted Friedman et al.
By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.
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Case Study
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Leading Semiconductor Firm Accelerates Product Time To Market Positive Revenue Impact Worth $Millions
• Lose $1B for every month delay in product release
• Month lost incrementally (minutes here, days there) by users looking for the right information to make accurate decisions
• Eliminate ETL for operational purposes and use DV to get all data in real time from original sources to accelerate accurate decision making.
• Still store historical data in DW but store much less
• Cut Time to Market (TTM) of delivering data to business by 90%
• Reduced product TTM by days generating $M’s in more revenue.
HQ in Santa Clara, California, is the world’s largest semi-conductor manufacturing firm, In 2015, the company reported a revenue of $55 billion with its 107,000 employees.
Problem Solution Results
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Denodo’s Packed Lunch Webinar Series
A look at what’s coming soon…
Webinar #2 – Big Data Fabric
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Webinar #3 – Complete View of Customer
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Webinar #4 – Centralized Security and Governance
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Webinar #5 – Self-Service Analytics
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Webinar #6 – Data as a Service
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And Even More…Many more topics in more webinars within the ‘Packed Lunch’ series:• Hybrid architectures with Cloud and On premise data• Migrating to the Cloud without disrupting the business• In-memory data grids with Data Virtualization for real-time analytics• Accessing ‘Open Data’ from Government web sites• etc.
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Q&A
Next stepsDownload Denodo Express: www.denodoexpress.com
Access Denodo Platform on AWS: www.denodo.com/en/denodo-platform/denodo-platform-for-aws
Next session
Big Data Fabric: A Recipe for Big Data Initiatives Thursday, February 16, 2017
Paul MoxonVP Data Architectures & Chief Evangelist, Denodo
Chris WaltersSenior Data Solutions Consultant, Denodo
Thank you!
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