Practical Strategies For Data Unification
With Dr. Michael Stonebraker
Posted by
EdmontonPM
Mar 15
Live Webinar March 21st, 2017 1:00 PM – 2:00 PM EDT
Activity Type: Education – Course or Training 1 Hour 1 PDU free
Provider: O’Reilly
Across industries, there’s a focus on getting business value from data, but too often — enterprises start with analytics before addressing the challenges of data unification across data silos.
Without first addressing issues such as schema integration, data cleaning, transformations, and deduplication, analytics projects typically fall short of the transformational outcomes they were designed to achieve.
In this webcast, 2015 Turing Award winner Dr. Michael Stonebraker draws from real life use cases with Fortune 100 companies who are saving tens of millions of dollars by taking a “data first” approach, which involves unifying data across silos, and then applying analytics to a richer set of data.
When we begin by unifying data, rather than trying to ask questions of partial or dirty data, truly transformational analytics become possible.
Learn:
- Practical strategies for obtaining business value from data
- Common reasons why many of these data strategies fail
- Why the most impactful analytics strategies cross internal data silos
- How starting with data, and not analytics, improves success
Presenter: Dr. Michael Stonebraker (LinkedIn profile) Cofounder – VoltDB winner of the 2015 Turing Award is the author of scores of research papers on database technology, operating systems and the architecture of system software services. Awarded the ACM System Software Award in 1992, for his work on Ingres, he was also awarded the 1st Innovation award by ACM SIGMOD, and was elected to the National Academy of Engineering in 1997. Awarded the IEEE John Von Neumann award in 2005; he is presently Adjunct Professor of Computer Science at MIT. Michael was the main architect of the Ingres relational DBMS, and the object-relational DBMS PostgreSQ. At MIT he was a co-architect of the Aurora Borealis stream processing engine (StreamBase), the C-Store column-oriented DBMS (Vertica), and the H-Store transaction processing engine (commercialized as VoltDB). Currently, Michael is working on science-oriented DBMSs and search engines for accessing the deep web and is the co-founder of six venture capital-backed start-ups.
Click to register for:
Practical Strategies For Data Unification
With Dr. Michael Stonebraker
0 | 0 | 1.0 |
Technical Project Management | Leadership | Strategic & Business Management |
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