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Enterprise Data Hub

The Next Big Thing in Big Data
Amy O’Connor | Big Data Evangelist
November 2013

1
Strata and Hadoop World 2013
•
•

The Enterprise Data Hub - what is it and why it’s the
ultimate complement to your existing data
management infrastructure

•

2

Key trends in Big Data adoption

Practical uses for an Enterprise Data Hub
Trend 1: A change in participation
Peak of Inflated Expectation

Big Data

Source: Gartner Hype Cycle
3
Trend 1: A change in participation

CHASM

Visionaries

Pragmatists

Conservatives

Skeptics

Source: Crossing the Chasm, Geoff Moore
4
Trend 1: A change in participation
Number of Attendees

4000

3000

2000

1000

0

2010
5

2011

2012

2013
Trend 2: Use cases and data lead

Big Data is about
Business Needs

6
Trend 3: Hadoop has matured
•
•

Flexibility

•

Fault Tolerance

•

Resource Management

•

7

Scalability

Security
Trend 4: The ecosystem expands

2011

36 Sponsors

8

2013

102 Sponsors
and Exhibitors
Trend 5: Automated management

Hadoop Configuration
And Management
War Stories

9
Trend 6: Beyond Batch
•
•

Machine Learning

•

Interactive SQL

•

Search

•

10

NoSQL Key-Value

In-Memory
Why Hadoop stayed home

11
Fact: Hardware gets cheaper

12
Fact: Data is valuable

13
The Future
for Data
is Hadoop

14
The Enterprise Data Hub: One Unified System
Information & data
accessible by all for
insight using leading
tools and apps
Enterprise Data Hub
Unified Data
Management
Infrastructure
Ingest All Data
Any Type
Any Scale
From Any Source

EDH
EDWs

Marts

Servers

ERP, CRM, RDBMS, Machines

Documents Storage Search Archives

Files, Images, Video, Logs, Clickstreams

External Data Sources
Cloudera’s Enterprise Data Hub
Integration with Over 200 ISVs
• Self-Service BI
• Data Exploration
• Visualization

Flexible Deployment Options
• On-Premise or Cloud
• Appliances
• Engineered Systems

Powerful Security Solution
• Risk Analysis
• Fraud Prevention
• Compliance

Infinite Analytic Storage
• Multi-Structured Data
• In-place Analytics
• Active Archive

Advanced Analytics Engine
• 360° Customer View
• Recommendation Engines
• Processing & Analytics

Apache
Hadoop

Enterprise Data Hub

Improve IT Operations
• ETL Acceleration
• EDW Rationalization
• Mainframe Offload
Inside an Enterprise Data Hub
Attributes of an EDH:

Enterprise Data Hub

• Store all data in
original fidelity

Search
Engine

Batch
Processing

Stream
Processing

Machine
Learning

Resource Management

For Any Type of Data
Elastic, Fault-tolerant, Self-healing, In-memory capabilities

SQL

Streaming

File System (NFS)

Data
Management

Unified Scale-out Storage

System
Management

Analytic
MPP DBMS

Metadata, Security, Audit, Lineage

Online
NoSQL
DBMS

• Secure data with
standard enterprise
assurances
• Access, Process and
Analyze all data
with multiple realtime or batch
engines
• Connect to your
existing IT
investments
Practical Uses: Enterprise Data Hub
•
•

Social TV, and Social Products

•

Managing our planet

•

Curing disease

•

18

Multi-channel seamless user experience

Predicting and eliminating financial risk
Strata and Hadoop World 2013
• More ideas
• Better insights

• Stronger connections

19
Strata + Hadoop World 2014
• The Enterprise Data Hub bringing…

More data, open data, machine data
• More on data governance
• More use cases and applications
•

• See you at the Javitz in 2014
•

20

With more participants, more diversity
• Submit questions in the Q&A panel
• Watch this webinar on-demand at:
http://cloudera.com
• Join the TweetJam directly following
the webinar!
• Follow Cloudera @Cloudera
• Hashtag: #EDH
• Introducing Cloudera User Groups!
• CUGs@cloudera.com
• Thank you for attending!
21

Rethink Data with the Enterprise Data
Hub: http://tinyurl.com/rethink-data
Learn more about Cloudera Enterprise 5:
http://cloudera.com/ce5
Download Cloudera Enterprise 5 beta:
http://go.cloudera.com/c5-beta

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Enterprise Data Hub: The Next Big Thing in Big Data

  • 1. Enterprise Data Hub The Next Big Thing in Big Data Amy O’Connor | Big Data Evangelist November 2013 1
  • 2. Strata and Hadoop World 2013 • • The Enterprise Data Hub - what is it and why it’s the ultimate complement to your existing data management infrastructure • 2 Key trends in Big Data adoption Practical uses for an Enterprise Data Hub
  • 3. Trend 1: A change in participation Peak of Inflated Expectation Big Data Source: Gartner Hype Cycle 3
  • 4. Trend 1: A change in participation CHASM Visionaries Pragmatists Conservatives Skeptics Source: Crossing the Chasm, Geoff Moore 4
  • 5. Trend 1: A change in participation Number of Attendees 4000 3000 2000 1000 0 2010 5 2011 2012 2013
  • 6. Trend 2: Use cases and data lead Big Data is about Business Needs 6
  • 7. Trend 3: Hadoop has matured • • Flexibility • Fault Tolerance • Resource Management • 7 Scalability Security
  • 8. Trend 4: The ecosystem expands 2011 36 Sponsors 8 2013 102 Sponsors and Exhibitors
  • 9. Trend 5: Automated management Hadoop Configuration And Management War Stories 9
  • 10. Trend 6: Beyond Batch • • Machine Learning • Interactive SQL • Search • 10 NoSQL Key-Value In-Memory
  • 11. Why Hadoop stayed home 11
  • 12. Fact: Hardware gets cheaper 12
  • 13. Fact: Data is valuable 13
  • 15. The Enterprise Data Hub: One Unified System Information & data accessible by all for insight using leading tools and apps Enterprise Data Hub Unified Data Management Infrastructure Ingest All Data Any Type Any Scale From Any Source EDH EDWs Marts Servers ERP, CRM, RDBMS, Machines Documents Storage Search Archives Files, Images, Video, Logs, Clickstreams External Data Sources
  • 16. Cloudera’s Enterprise Data Hub Integration with Over 200 ISVs • Self-Service BI • Data Exploration • Visualization Flexible Deployment Options • On-Premise or Cloud • Appliances • Engineered Systems Powerful Security Solution • Risk Analysis • Fraud Prevention • Compliance Infinite Analytic Storage • Multi-Structured Data • In-place Analytics • Active Archive Advanced Analytics Engine • 360° Customer View • Recommendation Engines • Processing & Analytics Apache Hadoop Enterprise Data Hub Improve IT Operations • ETL Acceleration • EDW Rationalization • Mainframe Offload
  • 17. Inside an Enterprise Data Hub Attributes of an EDH: Enterprise Data Hub • Store all data in original fidelity Search Engine Batch Processing Stream Processing Machine Learning Resource Management For Any Type of Data Elastic, Fault-tolerant, Self-healing, In-memory capabilities SQL Streaming File System (NFS) Data Management Unified Scale-out Storage System Management Analytic MPP DBMS Metadata, Security, Audit, Lineage Online NoSQL DBMS • Secure data with standard enterprise assurances • Access, Process and Analyze all data with multiple realtime or batch engines • Connect to your existing IT investments
  • 18. Practical Uses: Enterprise Data Hub • • Social TV, and Social Products • Managing our planet • Curing disease • 18 Multi-channel seamless user experience Predicting and eliminating financial risk
  • 19. Strata and Hadoop World 2013 • More ideas • Better insights • Stronger connections 19
  • 20. Strata + Hadoop World 2014 • The Enterprise Data Hub bringing… More data, open data, machine data • More on data governance • More use cases and applications • • See you at the Javitz in 2014 • 20 With more participants, more diversity
  • 21. • Submit questions in the Q&A panel • Watch this webinar on-demand at: http://cloudera.com • Join the TweetJam directly following the webinar! • Follow Cloudera @Cloudera • Hashtag: #EDH • Introducing Cloudera User Groups! • CUGs@cloudera.com • Thank you for attending! 21 Rethink Data with the Enterprise Data Hub: http://tinyurl.com/rethink-data Learn more about Cloudera Enterprise 5: http://cloudera.com/ce5 Download Cloudera Enterprise 5 beta: http://go.cloudera.com/c5-beta