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review: From Databases to Big Data Sam Madden
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From Databases to Big Data
Sam Madden
© 2012 IEEE INTERNET COMPUTING
data management
1 What Is Big Data?
data: too big,too fast, or too hard
2 On Databases and MapReduce
-- First, databases must slowly import data into a native representation
before they can be queried
-- Second, the lack of support for in-database statistics and
modeling
MapReduce or Hadoop
3 The State of the Art
Tools: SAS, R, and Matlab
approaches:
-- extend the relational model
-- extend the MapReduce/Hadoop model
-- build something entirely different
4 What’s Left?
What’s missing is twofold:
-- First, must improve statistics and machine learning algorithms to be
more robust and easier for unsophisticated users to
apply, while simultaneously training students in their intricacies.
-- Second, need to develop a data management ecosystem around these
algorithms so that users can manage and
evolve their data, enforce consistency properties over it, and browse,
visualize, and understand their algorithms’ results.
https://blog.sciencenet.cn/blog-468147-474253.html
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