Date post: | 25-May-2015 |
Category: |
Technology |
Upload: | dataversity |
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Tony ShawCEO, DATAVERSITY
Mod
erat
or:
www.enterprisedataworld.com
#EDW14om
Copyright © 2014, EnterpriseWeb LLCEnterpriseWeb is a Registered Trademark of EnterpriseWeb LLC.
All rights reserved.
MDM: Master Data Management or Massive Data Mistake?
Jason BloombergChief EvangelistEnterpriseWeb
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
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)
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Copyright © 2014, EnterpriseWeb LLC 3
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?
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Millions Down the Drain
• Multi-million dollar MDM efforts• Far more difficult than predicted• Illusory vision of a perfectly organized
data world
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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
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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
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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
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Copyright © 2014, EnterpriseWeb LLC 8
No More Shoehorns!
• Instead of shoehorning data into an unrealistic technical ideal, let’s build better technology that truly supports the business
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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 system
Copyright © 2014, EnterpriseWeb LLC 10
EnterpriseWeb: Paradigm Shift
Manage data that support dynamic business context in a
Cloud-friendly, enterprise-class environment
Copyright © 2014, EnterpriseWeb LLC 11
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
Copyright © 2014, EnterpriseWeb LLCEnterpriseWeb is a Registered Trademark of EnterpriseWeb LLC.
All rights reserved.
Jason Bloomberg
Chief Evangelist, EnterpriseWeb
@theebizwizard
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
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TheHadoopRDBMS
Standard ANSI SQLHorizontal Scale-OutReal-Time Updates
ACID TransactionsPowers OLAP and OLTPSeamless BI Integration
Splice Machine
Splice Machine Proprietary and Confidential2
How We Do It
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Case Study: Digital Marketing
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Clients Consumers
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Real-Time Personalization
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Oracle
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