Data Virtualization: An Introduction

Jan 30, 2017Download as PPTX, PDF5 likes1,168 views

According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.” This solidifies Data Virtualization as a critical piece of technology for any flexible and agile modern data architecture. This session will: • Introduce data virtualization and explain how it differs from traditional data integration approaches • Discuss key patterns and use cases of Data Virtualization • Set the scene for subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization. Agenda: • Introduction & benefits of DV • Summary & Next Steps • Q&A Watch full webinar here: https://goo.gl/EFQNFs This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb

DATA VIRTUALIZATION PACKED LUNCH
WEBINAR SERIES
Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization

Data Virtualization: An Introduction
Paul Moxon
VP Data Architectures & Chief Evangelist, Denodo

Agenda
1. Data Virtualization: An Introduction
2. Denodo’s ‘Packed Lunch’ Webinar Series
3. Q&A
4. Next Steps
3

Data Integration – “The Way We Were…”
5
Operational
Data Stores
Staging Area Data Warehouse Data Marts Analytics and
Reporting
ETLETLETL

Data Integration – A Modern Data Ecosystem
6

The Data Integration Challenge
7
Manually access different
systems
IT responds with point-to-
point data integration
Takes too long to get
answers to business users
MarketingSales ExecutiveSupport
Database
Apps
Warehouse 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
8
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
9
“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
2
3
1

Data Virtualization Reference Architecture
10

− 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.
13

Case Study
14
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

Denodo’s Packed Lunch
Webinar Series
A look at what’s coming soon…
15

Webinar #3 – Complete View of Customer
17

Webinar #4 – Centralized Security and Governance
18

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.
21

Next steps
Download 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 Moxon
VP Data Architectures & Chief Evangelist, Denodo
Chris Walters
Senior Data Solutions Consultant, Denodo

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