Dr. @MikeStonebraker on the future of #DataOps and #AI

May 29, 2019

In this podcast, Dr. Michael Stonebraker discussed his perspective on the growing data ops industry and its future. Dr. Stonebraker has launched several startups that defined data ops. He shares his insights into the data ops market and what to expect in the future of data and operations.

0:30 Mike’s take on the “no sequel movement”.
6:48 Evolution of database.
13:55 Mobility of data and cloud.
18:41 Tamr’s shift from the database to AI.
29:00 Ingredient for a successful start-up.
36:50 Leadership qualities that keep you successful and sane.
41:50 Mike’s parting thoughts.

Podcast Link:
iTunes: http://math.im/itunes
Youtube: http://math.im/youtube

Dr. Stonebraker’s BIO:
Dr. Stonebraker has been a pioneer of database research and technology for more than forty years. He was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES. These prototypes were developed at the University of California at Berkeley, where Stonebraker was a Professor of Computer Science for twenty-five years. More recently, at M.I.T., he was a co-architect of the Aurora/Borealis stream processing engine, the C-Store column-oriented DBMS, the H-Store transaction processing engine, which became VoltDB, the SciDB array DBMS, and the Data Tamer data curation system. Presently he serves as an advisor to VoltDB and Chief Technology Officer of Paradigm4 and Tamr, Inc.

Professor Stonebraker was awarded the ACM System Software Award in 1992 for his work on INGRES. Additionally, he was awarded the first annual SIGMOD Innovation award in 1994 and was elected to the National Academy of Engineering in 1997. He was awarded the IEEE John Von Neumann award in 2005 and the 2014 Turing Award and is presently an Adjunct Professor of Computer Science at M.I.T, where he is co-director of the Intel Science and Technology Center focused on big data.

About #Podcast:
#FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future.

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