The document outlines a webinar presented by John L. Myers on the evolution of data management, including discussions on the Internet of Things (IoT), data lakes, and effective integration strategies for big data. Key topics include the challenges organizations face in leveraging data analytics and the importance of hybrid data ecosystems. Poll results indicate that many participants are still in the early stages of their big data journey, often exploring use cases and integration with existing data warehouses.

1. The Hybrid Data Ecosystem:
AreYou Battling an Illogical
Data Warehouse?
Live Webinar
Wednesday
April 24, 2015

2. Today’s Featured Presenter
John L Myers
Managing Research Director
Enterprise Management Associates
JMyers@EMAusa.com
@johnlmyers44
John has over 10 years of experience working in areas
related to business analytics in professional services
consulting and product development roles.Additionally,
John helps organizations solve their business analytics
problems whether they relate to operational platforms,
such as customer care or billing, or applied analytical
applications, such as revenue assurance or fraud
management.

3. Topics
• What’s Driving Data Management Evolution?
• Internet ofThings
• Data Lakes
• Speed of Deployment
• Brief Introduction to SnapLogic
• Where to Go From Here
• Question and Answer

4. Poll Question #1
Where are you on your big data journey?
A. Live in Production………...13%
B. Test and Development…….7%
C. Still Evaluating…………….27%
D. Just Researching…………..53%

5. What’s Driving Data
Management Evolution?
Slide 5

6. The Buzz Words Of Big Data
Slide 6 © 2015 Enterprise Management Associates, Inc.

7. Evolution of Big Data
Slide 7 © 2015 Enterprise Management Associates, Inc.

8. Where to Put Information?:
Expanding the Data Warehouse
Slide 8 © 2015 Enterprise Management Associates, Inc.

9. Hybrid Data Ecosystem

10. Poll Question #2
What are your primary big data use cases?
A. Customer analytics………………………….…14%
B. Operational analytics (machine, devices, etc.)…14%
C. Data-driven products and services (IoT)……….7%
D. Fraud and compliance…………………………...0%
E. Archiving data…………………………………...0%
F. Other…………………………………………....7%
G. Don’t know yet/researching…………………...57%

11. Internet of Things:
Rise of the Machines AND
Rise of Patterns
Slide 11

12. What is the Internet of Things?
Slide 12
“The Internet of Things (IoT) is a scenario
in which objects, animals or people are
provided with unique identifiers and the
ability to transfer data over a network
without requiring human-to-human or
human-to-computer interaction.”
“Internet of Things (IoT) is the network of physical objects or "things"
embedded with electronics, software, sensors and connectivity to enable it to
achieve greater value and service by exchanging data with the
manufacturer, operator and/or other connected devices. Each thing is
uniquely identifiable through its embedded computing system but is able to
interoperate within the existing Internet infrastructure.”
“The Internet of Things (IoT) is a
computing concept that describes a future
where everyday physical objects will be
connected to the Internet and be able to
identify themselves to other devices. The
term is closely identified with RFID as the
method of communication, although it also
may include other sensor technologies,
wireless technologies or QR codes.”
© 2015 Enterprise Management Associates, Inc.

13. Internet of Things Adoption
12-18Months
0Months… Now
Slide 13 © 2015 Enterprise Management Associates, Inc.

14. Internet of Things:
Connected Devices
Slide 14 © 2015 Enterprise Management Associates, Inc.

15. Handling the Internet of Things with a Hybrid
Data Ecosystem
Slide 15 © 2015 Enterprise Management Associates, Inc.

16. Poll Question #3
How are you thinking about big data management/ Hadoop
relative to your current enterprise data warehouse?
A. We want to replace current
approaches if possible…………14%
B. It must complement current
approaches…………………….57%
C. Too soon to say………………..29%

17. Where to Put This Information:
Data Lakes
Slide 17

18. Data Lakes:
There Is Big Data and There Is LOTS Of Big Data
Slide 18 © 2015 Enterprise Management Associates, Inc.

19. Data Lake Obstacles
Slide 19 © 2015 Enterprise Management Associates, Inc.

20. Implementing a Data Lake with a Hybrid Data
Ecosystem
Slide 20 © 2015 Enterprise Management Associates, Inc.

21. Available vs. Ready:
Speed of Deployment
Slide 21

22. Artistry vs. Assembly
2Years
8Hours
Slide 22 © 2015 Enterprise Management Associates, Inc.

23. Customizable Applications:
Best of Both Worlds
Slide 23 © 2015 Enterprise Management Associates, Inc.

24. Design Patterns:
Connecting Big Data
Slide 24 © 2015 Enterprise Management Associates, Inc.

25. Cloud Becoming More Popular:
Where to Implement Hybrid Data Ecosystem
Slide 25 © 2015 Enterprise Management Associates, Inc.

26. Today’s Agenda
• What’s Driving Data Management Evolution?
• Internet ofThings
• Data Lakes
• Speed of Deployment
• Brief Introduction to SnapLogic
• Where to Go From Here
• Question and Answer

27. • Experienced Team: Leadership from Informatica,
Salesforce, Sybase, Cognos, CA
• Headquarters: San Mateo, California
• Investors: Andreessen Horowitz & Ignition
• Advisory Board: AstraZeneca, HP, Symantec,
Yahoo
• Customers: Adobe,Acxiom,AstraZeneca,
Blackberry, Bloomin’ Brands, CapitalOne, Cisco,
Cognizant, Danone, Fox Sports, GamesStop, GE,
HP, IDG, iRobot, RocketFuel,Target,Yelp, Uber, USF,
Xactly
SnapLogic: Unified Platform to Connect Faster

28. Why SnapLogic Elastic Integration?
Modern ConnectedProductiveUnified
We can do more in two hours with SnapLogic than we
could in two days with traditional solutions.

29. SnapLogic and the Data Lake
Ingest, Prepare, Deliver Big Data

30. Where To Go From Here?
• “One Platform to
Rule Them All”
Won’t Work…
• IoT and data lakes
depend on
integration
• Reach for patterns
in the cloud…for
speeding time to
value
Slide 30 © 2015 Enterprise Management Associates, Inc.

31. Big Data Integration in a Snap
@SnapLogic
Facebook.com/SnapLogic
Plus.google.com/+SnapLogic
Learn more at!
www.SnapLogic.com!
!