Big Data Is ‘Buzzword Du Jour;’ CS Academics ‘Have the Best Job’
Michael Stonebraker analyzes the different varieties of Big Data, while Judy Robertson considers the rewards of teaching computer science.
Michael Stonebraker
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What Does ‘Big Data’ Mean (Part 4)?
The "big variety" use case is examined, in this fourth post in a series on big data.
What Does ‘Big Data’ Mean? (Part 3)
The "big velocity" use case is examined in this third post in a series on big data.
Michael Stonebraker expects a substantial increase in the number of New SQL engines using a variety of architectures in the near future.
What Does ‘Big Data’ Mean? (Part 2)
In this second post on big data, I continue with a discussion of the use case of big volume-big analytics.
It is interesting to note that a substantial subset of the computer science community has redefined their research agenda to fit under the marketing banner of "Big Data."
Hadoop has spread rapidly in the last few years as a platform for parallel computation in Java, but we believe a lot of improvement will be required for serious production use in the science domain of a large national laboratory.
Researchers’ Big Data Crisis; Understanding Design and Functionality
Michael Stonebraker issues a call to arms about research groups' data-management problems. Jason Hong discusses the nature of functionality with respect to design.
Stonebraker on NoSQL and Enterprises
Michael Stonebraker discusses several reasons why NoSQL has not caught on with enterprise users.
New SQL: An Alternative to NoSQL and Old SQL For New OLTP Apps
New SQL should be considered as an alternative to NoSQL or Old SQL for New OLTP applications. If New OLTP is as big a market as I foresee, we will see many more New SQL engines employing a variety of architectures in the near future.
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