Hadoop 2.0 is gaining adoption among information workers seeking to analyze big data. Since its release, Hadoop has seen increased use by open source developers and vendors looking to leverage its scalability. Hadoop adoption continues to rise and it is entering a phase of maturity. Big data platforms are evolving from standalone tools to integrated platforms with increased capabilities. This reduces programming needs and shifts roles among IT professionals, data scientists, and business analysts.

1. H T
Technologies
2013

2. HOST:
Eric
Kavanagh

3.
THIS
YEAR
is…

4. HADOOP
2.0
ž Since
its
release,
Hadoop
has
been
gaining
traction
among
information
workers
seeking
to
wrangle
Big
Data
ž It
has
seen
a
proliferation
of
use
by
both
open-­‐source
developers
and
vendors
hoping
to
leverage
its
scalability,
agility
and
processing
ž Adoption
continues
to
rise,
and
Hadoop
is
entering
what
could
be
considered
the
maturity
phase

5. ANALYST:
Rick
Sherman
Managing
Partner,
Athena
IT
Solutions
ANALYST:
Robin
Bloor
Chief
Analyst,
The
Bloor
Group
GUEST:
Lawrence
Weber
Big
Data
Product
Marketing
&
Strategy,
IBM
THE
LINE
UP

6. INTRODUCING
Rick
Sherman

7. Rick
Sherman
Athena
IT
Solu4ons
rsherman@athena-­‐solu4ons.com
Copyright © 2013 Athena IT Solutions
Hot
Technologies
of
2013:
Big
Data,
Hadoop
2.0
and
beyond

8. Slide 8 Copyright © 2013 Athena IT Solutions All rights reserved.
Big Data, Hadoop 2.0 & Beyond
Tool Evolution
Big data platforms are evolving
• Hadoop & NoSQL tools to platforms
• Cloud deployments
• Integration
• Advanced analytics
Benefits:
• Increased capabilities & reduced programming
• Shift roles
ü IT & Business
ü Data scientists & business analysts
ü Services
• Lower costs & time to market

9. Slide 9 Copyright © 2013 Athena IT Solutions All rights reserved.
Big Data, Hadoop 2.0 & Beyond
Skills Gap
• Data Scientists
ü Misunderstood
ü Too much programming needed now
ü Predictive models are sophisticated
• Big data programmers
ü More demand yield more supply
ü Platform capabilities expanding
ü Cloud shifts need
• Business analysts
ü Not programmers or stats gurus
ü Advanced analytics

10. Slide 10 Copyright © 2013 Athena IT Solutions All rights reserved.
Big Data, Hadoop 2.0 & Beyond
One size fits all
Concerns:
• Big data is about 3Vs
• Data silos
• Data capture vs analytics
Big data planning:
• It’s about the business
• Data & analytics variety
• Data awareness & cultural shift
ü Comprehensive & current
ü Comprehensive, consistent, clean & current

11. INTRODUCING
Robin
Bloor

12. HOT TECHNOLOGIES OF
2013: HADOOP 2.0

14. Hadoop and the ISAM Perspective
— Most OS environments had native key-value stores until
the advent of Unix, Linux, Windows
— Such stores are versatile and useful, and now they are
back – and they are parallel
— Hadoop can act as a foundation for many things (dbms,
analytical engine, parallel processing engine, data lake
and staging area, ETL, etc.)
HADOOP IS A HIGHLY SCALABLE KEY-VALUE STORE
THAT DEFINES ITS TECHNICAL VIRTUES

15. Hadoop Immaturity
Not entirely fault tolerant
It is essentially a batch engine with a primitive scheduling capability
Requires significant skills to install and to program
Rarely used in production environments (except for ETL)
The software ecosystem is still developing
It is parallel but not fast!

16. The Big Data Map

17. INTRODUCING
Lawrence
Weber

18. © 2013 IBM Corporation
1818
Enterprise Hadoop, Simplified
Introducing BigInsights Quick Start Edition
Lawrence Weber, Program Director – Big Data Product Marketing
lawrence.weber@us.ibm.com

19. © 2013 IBM Corporation
InfoSphere BigInsights Quick Start is the newest member of the
BigInsights family
Why did IBM create this edition?
• InfoSphere BigInsights Quick Start allows you to
experiment with Hadoop at no charge.
• It simplifies the complexity of Hadoop with easy-
to-follow tutorials
• It provides the enterprise-grade features
necessary to deploy Hadoop for a wide range of
use cases
What makes BigInsights Quick Start unique?
• Guided learning via ‘how-to’ videos and tutorials
• Enterprise-grade features
• No charge, no time or data limitations

20. © 2013 IBM Corporation
From Getting Started to Enterprise Deployment:
InfoSphere BigInsights Brings Hadoop to the Enterprise
Enterprise Edition
Breadth of capabilities
Enterpriseclass
Sold by # of terabytes managed
PureData for Hadoop
(Pre-announced)
Appliance simplicity for the enterprise
Quick Start Edition
Web-based
mgmt console
Jaql
Integrated installApache
Hadoop
Basic Edition
Free download
Quick Start features
PLUS:
Accelerators
Enterprise Integration
Production support
Production-ready features
Big Sheets
Text Analytics
Big SQL
Workload
optimization/
Query support
Dev tools
Connectors
Mgmt tools
IBM Hadoop
Core
Free download, non-production
New

21. © 2013 IBM Corporation
BigInsights Quick Start Edition contains robust, enterprise-
grade features
Features Unavailable in
Quick Start
• Production support
• Production-ready features
• Machine and Social Data
Accelerators
• Limited use licenses for Data
Explorer, Cognos, Streams
Features Available in
Quick Start
• Big Sheets
• Text Analytics
• Big SQL
• All Workload optimization/Query
support
• Development tools
• Connectors
• Management tools
• IBM Hadoop Core
Note: these features are readily
available with InfoSphere
BigInsights Enterprise Edition

22. © 2013 IBM Corporation
How can you get your hands on BigInsights Quick Start?
www.ibm.com/infosphere/quickstart
2 download
options!

23. © 2013 IBM Corporation
23
BigInsights Quick Start LIVE! Demo

24. © 2013 IBM Corporation
Get Started on Your Big Data Journey Today
Get Educated
– ibm.com/infosphere/quickstart
– IBM Big Data: ibm.com/bigdata
– IBMBigDataHub.com
– BigDataUniversity.com
– IBV study on big data
– Books / analyst papers
Schedule a Big Data Workshop
– Free of charge
– Best practices
– Industry use cases
– Business uses
– Business value assessment

25. © 2013 IBM Corporation
THINK
25
Lawrence Weber
lawrence.weber@us.ibm.com
weberlarry
www.lawrenceweber.com

27. The
Archive
Trifecta:
• Inside
Analysis
www.insideanalysis.com
• SlideShare
www.slideshare.net/InsideAnalysis
• YouTube
www.youtube.com/user/BloorGroup
THANK
YOU!