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© 2013 Denodo Technologies
6 Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization
Session 3: Leveraging Big Data in Your Enterprise with
Data Virtualization
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
© 2013 Denodo Technologies
Today’s Speakers
■ Paul Moxon
Senior Director, Product Management
■ Tom Forman
Senior Solutions Consultant
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Why is Big Data so Important?
■ Technology is democratizing storage and processing
of data
■ New found ability to extract value from data – at low
cost
■ Must be done in the context of the business
• Integrated into existing business processes, decision
making systems, etc.
■ Unified, integrated view of ALL enterprise data
• Regardless of source or structure
© 2013 Denodo Technologies
Big Data Has Momentum
© 2013 Denodo Technologies
What is Big Data?
Many definitions…
■ 3 V’s – Volume, Velocity, Variety
■ 4 V’s = 3 V’s AND (Value OR Variability OR Veracity)
■ Forrester:
“Big Data is the frontier of a firm’s ability to store, process,
and access all of the data it needs to operate, make
decisions, reduce risks, and serve customers”
© 2013 Denodo Technologies
Big Data – 4 Stage Process
Acquire Store Process Disseminate
Focus of ‘Big Data’ products
Focus of Data Virtualization
© 2013 Denodo Technologies
Big Data Sources and Stores
Sources
■ Web data
• Social media (Twitter,
Facebook, Blog posts, etc.)
• Clickstreams
• ‘Open Government’
• Audio/Video data
• …
■ Internet of Things
• Sensor data
• Web logs
• Geo-location data
• RFID data
• Network logs
• Streaming data
• …
Stores
■ Hadoop & derivatives
• Apache Hadoop
• Cloudera
• HortonWorks
• Amazon EMR
• IBM InfoSphere BigInsights
• …
■ NoSQL databases
• Apache Cassandra
• MongoDB
• CouchDB
• Neo4J
• …
■ Data Warehouses
• MPP EDW
• Teradata, etc.
• …
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Big Data Uses – Analytics and Low Cost Storage
Difficulty To Implement
BusinessValue
Reporting
Analysis
Monitoring
Prediction
$$$$
$
Prescriptive
Prediction Use Cases:
• Fraud prevention
• Recommendation engines
• Weather predictions
• etc.
© 2013 Denodo Technologies
Challenges for Big Data
Which of the following challenges prevent your
organization from making better use of Big Data?
54%
50%
42%
38%
37%
Managing and integrating data
from a variety of sources
Ensuring data quality from
a variety of sources
Getting staffing and management
commitments for projects
Communicating and
interpreting results of analytics
Finding the right kind of
talent
Source: Forrsights BI/Big Data Survey Q3, 2012
© 2013 Denodo Technologies
Big Data Access Challenge
© 2013 Denodo Technologies
The Bad News…
Most data is in silos of applications, databases, data
warehouses, file systems, or not even captured…
and it’s only getting worse!
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Denodo Platform Architecture
DataConsumers
Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users
DataVirtualization
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
© 2013 Denodo Technologies
The Climate Corporation – Data Access Challenge
© 2013 Denodo Technologies
The Climate Corporation – Integrated Analytics
© 2013 Denodo Technologies
Navteq – Location Based Services with Big Data
Combine EDW, Cloud, data feeds and real-time social media
Batch
Denodo Platform
Data Virtualization | Data Services | Web ETL
Batch
Real Time
Location Content Management
System
Smart API – Core
Widgets
User Data
Store Service
Web, Devices | Users | Partners | App Builders
POIs
© 2013 Denodo Technologies
R – Low Cost Data Storage for Big Data
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Hadoop Ecosystem Integration Options
© 2013 Denodo Technologies
Making Hadoop Map/Reduce Accessible
Map-
reduce
job
HDFS
File
Command
connector
HDFS Files
connector
1. The command connector
issues the Map-Reduce job
to the Hadoop cluster
2. The job
generates a file
with the results
3. Denodo reads
the generated file
4. The results are
returned to the
client
5. This data can be
cached
Denodo
Cache
An end user issues a
SELECT * from ViewA
ViewA
© 2013 Denodo Technologies
Other NoSQL – Denodo integrations
■ Couch DB
• Document-based database (JSON)
with eventual consistency
■ Mongo DB
• Document-based database (BSON)
with dynamic schema
■ Neo4J
• Open source Graph database written in
Java
■ Apache Cassandra
• Hybrid Column/Key-Value Pair based
database
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
The Promise (and Challenges) of Big Data
Source: Forrsights BI/Big Data Survey Q3, 2012
© 2013 Denodo Technologies
Leverage ALL of Your Data
 Expose all data across your organization
 Break down 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
Big Data & Data Virtualization Benefits - Summary
© 2013 Denodo Technologies
Agenda
■ Introduction to Big Data
■ Big Data Uses and Challenges
■ Increasing the Impact of Big Data using Data
Virtualization
■ Data Virtualization & Big Data - Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Data Virtualization & Big Data – Questions?
© 2013 Denodo Technologies
Data Virtualization & Big Data – Next Steps
Move forward at your own pace
 DBTA Best Practices: Data Virtualization is Vital for Maximizing Your NOSQL
and Big Data Investment
http://www.denodo.com/en/resources/solution_briefs/dbta_dv_nosql_bigdata_2012/index.php
 Attend Packed Lunch Webinar Sessions – Covering Data Virtualization for…
 Making BI Agile
 Integrating Big Data
 Combining SOA and Data Integration
 Enhancing and Extending MDM and DW
 Creating a Single View of Your Customer
Move forward with one of our Data Virtualization experts
 Phone: (+1) 877-556-2531 (NA) | Email: info@denodo.com
 Phone: (+44) (0)20 7869 8053 (EMEA)
 www.denodo.com
© 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!
Capitalizing on your SOA with Data Virtualization
Wednesday, July 23rd 2014

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Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)

  • 1. © 2013 Denodo Technologies 6 Sessions Covering Key Data Integration Challenges Solved with Data Virtualization Session 3: Leveraging Big Data in Your Enterprise with Data Virtualization 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 ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 4. © 2013 Denodo Technologies Agenda ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 5. © 2013 Denodo Technologies Why is Big Data so Important? ■ Technology is democratizing storage and processing of data ■ New found ability to extract value from data – at low cost ■ Must be done in the context of the business • Integrated into existing business processes, decision making systems, etc. ■ Unified, integrated view of ALL enterprise data • Regardless of source or structure
  • 6. © 2013 Denodo Technologies Big Data Has Momentum
  • 7. © 2013 Denodo Technologies What is Big Data? Many definitions… ■ 3 V’s – Volume, Velocity, Variety ■ 4 V’s = 3 V’s AND (Value OR Variability OR Veracity) ■ Forrester: “Big Data is the frontier of a firm’s ability to store, process, and access all of the data it needs to operate, make decisions, reduce risks, and serve customers”
  • 8. © 2013 Denodo Technologies Big Data – 4 Stage Process Acquire Store Process Disseminate Focus of ‘Big Data’ products Focus of Data Virtualization
  • 9. © 2013 Denodo Technologies Big Data Sources and Stores Sources ■ Web data • Social media (Twitter, Facebook, Blog posts, etc.) • Clickstreams • ‘Open Government’ • Audio/Video data • … ■ Internet of Things • Sensor data • Web logs • Geo-location data • RFID data • Network logs • Streaming data • … Stores ■ Hadoop & derivatives • Apache Hadoop • Cloudera • HortonWorks • Amazon EMR • IBM InfoSphere BigInsights • … ■ NoSQL databases • Apache Cassandra • MongoDB • CouchDB • Neo4J • … ■ Data Warehouses • MPP EDW • Teradata, etc. • …
  • 10. © 2013 Denodo Technologies Agenda ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 11. © 2013 Denodo Technologies Big Data Uses – Analytics and Low Cost Storage Difficulty To Implement BusinessValue Reporting Analysis Monitoring Prediction $$$$ $ Prescriptive Prediction Use Cases: • Fraud prevention • Recommendation engines • Weather predictions • etc.
  • 12. © 2013 Denodo Technologies Challenges for Big Data Which of the following challenges prevent your organization from making better use of Big Data? 54% 50% 42% 38% 37% Managing and integrating data from a variety of sources Ensuring data quality from a variety of sources Getting staffing and management commitments for projects Communicating and interpreting results of analytics Finding the right kind of talent Source: Forrsights BI/Big Data Survey Q3, 2012
  • 13. © 2013 Denodo Technologies Big Data Access Challenge
  • 14. © 2013 Denodo Technologies The Bad News… Most data is in silos of applications, databases, data warehouses, file systems, or not even captured… and it’s only getting worse!
  • 15. © 2013 Denodo Technologies Agenda ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 16. © 2013 Denodo Technologies Denodo Platform Architecture DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users DataVirtualization 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
  • 17. © 2013 Denodo Technologies The Climate Corporation – Data Access Challenge
  • 18. © 2013 Denodo Technologies The Climate Corporation – Integrated Analytics
  • 19. © 2013 Denodo Technologies Navteq – Location Based Services with Big Data Combine EDW, Cloud, data feeds and real-time social media Batch Denodo Platform Data Virtualization | Data Services | Web ETL Batch Real Time Location Content Management System Smart API – Core Widgets User Data Store Service Web, Devices | Users | Partners | App Builders POIs
  • 20. © 2013 Denodo Technologies R – Low Cost Data Storage for Big Data
  • 21. © 2013 Denodo Technologies Agenda ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 22. © 2013 Denodo Technologies Hadoop Ecosystem Integration Options
  • 23. © 2013 Denodo Technologies Making Hadoop Map/Reduce Accessible Map- reduce job HDFS File Command connector HDFS Files connector 1. The command connector issues the Map-Reduce job to the Hadoop cluster 2. The job generates a file with the results 3. Denodo reads the generated file 4. The results are returned to the client 5. This data can be cached Denodo Cache An end user issues a SELECT * from ViewA ViewA
  • 24. © 2013 Denodo Technologies Other NoSQL – Denodo integrations ■ Couch DB • Document-based database (JSON) with eventual consistency ■ Mongo DB • Document-based database (BSON) with dynamic schema ■ Neo4J • Open source Graph database written in Java ■ Apache Cassandra • Hybrid Column/Key-Value Pair based database
  • 25. © 2013 Denodo Technologies Agenda ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 26. © 2013 Denodo Technologies The Promise (and Challenges) of Big Data Source: Forrsights BI/Big Data Survey Q3, 2012
  • 27. © 2013 Denodo Technologies Leverage ALL of Your Data  Expose all data across your organization  Break down 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 Big Data & Data Virtualization Benefits - Summary
  • 28. © 2013 Denodo Technologies Agenda ■ Introduction to Big Data ■ Big Data Uses and Challenges ■ Increasing the Impact of Big Data using Data Virtualization ■ Data Virtualization & Big Data - Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 29. © 2013 Denodo Technologies Data Virtualization & Big Data – Questions?
  • 30. © 2013 Denodo Technologies Data Virtualization & Big Data – Next Steps Move forward at your own pace  DBTA Best Practices: Data Virtualization is Vital for Maximizing Your NOSQL and Big Data Investment http://www.denodo.com/en/resources/solution_briefs/dbta_dv_nosql_bigdata_2012/index.php  Attend Packed Lunch Webinar Sessions – Covering Data Virtualization for…  Making BI Agile  Integrating Big Data  Combining SOA and Data Integration  Enhancing and Extending MDM and DW  Creating a Single View of Your Customer Move forward with one of our Data Virtualization experts  Phone: (+1) 877-556-2531 (NA) | Email: info@denodo.com  Phone: (+44) (0)20 7869 8053 (EMEA)  www.denodo.com
  • 31. © 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! Capitalizing on your SOA with Data Virtualization Wednesday, July 23rd 2014