EDW Webinar: A Sneak Peek at Enterprise Data Innovations
 

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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 ...

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.

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EDW Webinar: A Sneak Peek at Enterprise Data Innovations Presentation Transcript

  • 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 4
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