This talk will focus on the current market for "Big Data" products, specifically those that deal with one or more of "the 3 V's". I will suggest that the volume problem for business intelligence applications is pretty well solved by the data warehouse vendors; however upcoming "data science" tasks are poorly supported at present. On the other hand, there is rapid technological progress, so "stay tuned". In the velocity arena recent "new SQL" and stream processing products are doing a good job, but there are a few storm clouds on the horizon. The variety space has a collection of mature products, along with considerable innovation from startups.
I will discuss opportunities in this space, especially those enabled by possible disruption from new technology. Also discussed will be the pain levels I observe in current enterprises, culminating in my presentation of "the 800 pound gorilla in the corner".
Dr. Stonebraker has been a pioneer of data base 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, the SciDB array DBMS, and the Data Tamer data curation system.
Presently he serves as 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.
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