As enterprise data management becomes increasingly important, fresh new perspectives become even more valuable in order to gain an advantage and differentiate your organization. In this webinar program you’ll hear from four new and innovative enterprise-class data management companies that are providing new that much-needed fresh perspective. Each solution will be discussed in a 10-minute overview and you’ll have a chance to ask questions of each speaker. Each of the companies presenting will also be at the upcoming Enterprise Data World Conference in Austin, on April 27-May 1. The exciting solutions you’ll see in this webinar are: Enterprise Web Jason Bloomberg, Chief Evangelist Single, stable data models don't adequately represent the way that business - or people - understand and use information. Every department, in fact, every interaction, has its own business context. And furthermore, the business context is inherently dynamic. Information is inherently context-sensitive and always in flux. Expecting any organization to shoehorn their information into some techie ideal of a master data model is woefully unrealistic. The solution: manage business data in a way that maintains dynamic business context. Splice Machine Rich Reimer, VP of Product and Marketing Hadoop users have been frustrated by lack of familiar SQL access to data. Splice Machine offers the only full-featured SQL database on Hadoop with real-time updates and ACID transactions, which is disrupting the traditional database market and moving Hadoop beyond analytics into real-time applications. Saffron Technology Walt Gall, VP of Sales Just like our brains work cognitive computing platforms like Saffron combine current information with prior knowledge to understand what’s similar and different so you can anticipate what will happen next and how to best respond to a current situation. Brain-like natural reasoning systems bridge the gap between mathematical optimization and machine learning reasoning so knowledge workers can solve some of their most complex problems for faster insight to drive better decisions. This presentation will look at the cutting edge world of cognitive computing platforms where very few players compete and not just IBM Watson.

1. Tony Shaw
CEO, DATAVERSITY
Moderator:
www.enterprisedataworld.com
#EDW14om

2. Copyright © 2014, EnterpriseWeb LLC
EnterpriseWeb is a Registered Trademark of EnterpriseWeb LLC.
All rights reserved.
MDM: Master Data Management
or Massive Data Mistake?
Jason Bloomberg
Chief Evangelist
EnterpriseWeb

3. The Myth of the Master Data
Model
• “If only we had a single data model, a
single view of the truth, then all our data
problems would be solved…”
Copyright © 2014, EnterpriseWeb LLC 2

4. What is MDM?
Master data management
(MDM) comprises the
processes, governance,
policies, standards and tools
that consistently define and
manage the critical data of an
organization to provide a
single point of reference
(Wikipedia)
PhotoCredit:EricaFirmenthttps://www.flickr.com/photos/librarianavengers/492108770/sizes/o/
Copyright © 2014, EnterpriseWeb LLC 3

5. Massive Data Mistake?
• Consistency?
– Assumes a static organization
• Single point of reference?
– Whose point of
reference, anyway?
– What if that point
of reference doesn’t
correspond to your
line of business?
PhotoCredit:patrinushttps://www.flickr.com/photos/80408696@N00/411645943/sizes/o/
Copyright © 2014, EnterpriseWeb LLC 4

6. Millions Down the Drain
• Multi-million dollar MDM efforts
• Far more difficult than predicted
• Illusory vision of a perfectly organized
data world
Copyright © 2014, EnterpriseWeb LLC 5

7. Not the Way People Work
• Not the way that business - or
people - understand and use
information
• Traditional technology
approaches will never solve the
Master Data Management
problem
• Every department, in fact, every
interaction, has its own business
context
PhotoCredit:DentsuLondonhttps://www.flickr.com/photos/dentsulondon/5431610938/sizes/o/
Copyright © 2014, EnterpriseWeb LLC 6

8. Shoehorns don’t work!
• Business context is inherently dynamic
• Information is inherently context-sensitive
& always in
flux
• Expecting any
organization to
shoehorn their
information into
some techie ideal of a master data model is
woefully unrealistic
PhotoCredit:LizWest,https://www.flickr.com/photos/calliope/164527163/sizes/l
Copyright © 2014, EnterpriseWeb LLC 7

9. No More Static!
• Static data models & static
APIs never support agility
–Only good for fixed and
standardized purposes
–Don’t respond to changing
or varied business context
PhotoCredit:KenBosmahttps://www.flickr.com/photos/kretyen/2843109634/sizes/l
Copyright © 2014, EnterpriseWeb LLC 8

10. No More Shoehorns!
• Instead of shoehorning data into an
unrealistic technical ideal, let’s build
better technology that truly supports the
business
Copyright © 2014, EnterpriseWeb LLC 9

11. Logic Mixed/Schemaless Data
SchemaSchema Schema
SmartAlex™
Dealing with Real-Time Context
Process metadata, data, and logic for each interaction
in real time – across the entire distributed systemCopyright © 2014, EnterpriseWeb LLC 10

12. EnterpriseWeb: Paradigm Shift
Manage data that support
dynamic business context in a
Cloud-friendly, enterprise-class
environment
Copyright © 2014, EnterpriseWeb LLC 11

13. EnterpriseWeb®
Dynamic Business Context
• Unified data architecture
• Seamlessly correlates system-
wide activity for real-time 360o
views of anything
• Dynamic constraint satisfaction
• Supports integrated
operations
– Linked processes & cross-
process governance
• Solves MDM context problem!
Context “A” Context “C”Context “B”
Systemwide
Context
Resolution
Copyright © 2014, EnterpriseWeb LLC 12

14. Copyright © 2014, EnterpriseWeb LLC
EnterpriseWeb is a Registered Trademark of EnterpriseWeb LLC.
All rights reserved.
Jason Bloomberg
Chief Evangelist, EnterpriseWeb
jason@enterpriseweb.com
@theebizwizard

15. Moving Hadoop Beyond Batch Analytics
to Power Real-Time Apps
Hadoop – Not Just for Data Scientists Anymore
Distributed File System
Java MapReduce Programs
Read-Only
Batch Analytics
Distributed RDBMS
SQL-99 Queries
Real-Time Updates
with ACID transactions
Real-Time Apps and
Analytics
1

16. The
Hadoop
RDBMS
Standard ANSI SQL
Horizontal Scale-Out
Real-Time Updates
ACID Transactions
Powers OLAP and OLTP
Seamless BI Integration
Splice Machine
Splice Machine Proprietary and Confidential
2

17. How We Do It
3

18. Case Study: Digital Marketing
Powers Unica app and Cognos
Scale-out with commodity servers
Made queries 3x-7x faster
Achieved over 10x price/perf
improvement
Replaced Oracle RAC DB Initial Results
Clients Consumers
Unica
Real-Time
Personalization
Real-Time Actions
Cross-Channel
Campaigns
Oracl
e
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