|By Jason Bloomberg||
|February 13, 2014 10:54 AM EST||
Jason Bloomberg returns to Enterprise Data World to discuss Master Data Management and Dynamic Information in the Cloud
EnterpriseWeb Chief Evangelist, Jason Bloomberg, will be speaking at two sessions at Dataversity’s Enterprise Data World Conference in Austin, Texas, which runs from April 27 – May 1, 2014. EnterpriseWeb is also a Gold Sponsor of the conference, and will be exhibiting on the show floor.
Mr. Bloomberg’s first talk is a “Lunch-and-Learn” on April 29th. The topic of this talk is “Mixing ACID and BASE: Multiversion Concurrency Control and Late-Bound Schemas for Fun and Profit.” The description of the session is as follows:
Mr. Bloomberg’s second session on April 30 is titled “MDM: Master Data Management or Massive Data Mistake?” The session description is below:
|“If only we had a single data model, a single view of the truth, then all our data problems would be solved…” Those words have launched many a multi-million dollar MDM effort — and yet, such efforts have proven far more difficult than predicted, leading enterprises far and wide to pour money into an illusory vision of a perfectly organized data world.
We can hardly blame the vendors for this sorry state of affairs. After all, they continue to roll out new technologies at a breakneck pace: NoSQL, NewSQL, Database-as-a-Service, you name it. But despite all this new gear, why can’t we simply settle on a single, stable, universal data model for the enterprise?
The answer: that’s not 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.
It’s time for the technology to get with the program. Schemaless data stores that support metadata-driven, late-bound schemas. Real-time personalization and change management. Business entities that maintain separate, dynamic business contexts. Multiversion Concurrency Control (MVCC) and immutable data for high performance in the Cloud as well as trace and audit control and universal version control.
Instead of shoehorning data into an unrealistic technical ideal, let’s build better technology that truly supports the business.
About Enterprise Data World
The 18th annual EDW is recognized as the most comprehensive and educational data management conference in the world.
The 2014 EDW Program Includes:
- Data Governance & Stewardship Implementation
- Data Architecture & Modeling – Building for New Demands
- Big Data Trends – Solutions Here to Stay
- How to Rollout Your Master Data Management Success
- EIM – Transforming into Data-driven Business
- Improving Data Management Results through Metrics
- Unstructured Data – Finally Getting It Under Control
- Analytics and Business Intelligence Case Studies
- Optimizing Metadata Management Through Best Practices
- Making Agile Data Methods Work for You
Learn more about Enterprise Data World and register with a special discount code which you can find at http://documents.dataversity.net/EDW2014/invitations/EnterpriseWeb.html.
The essence of data analysis involves setting up data pipelines that consist of several operations that are chained together – starting from data collection, data quality checks, data integration, data analysis and data visualization (including the setting up of interaction paths in that visualization). In our opinion, the challenges stem from the technology diversity at each stage of the data pipeline as well as the lack of process around the analysis.
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