Cloudera
FEBRUARY 8, 2024
Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views. Materialized views can be partitioned on one or more columns. This can potentially lead to orders of magnitude improvement in performance.
Smart Data Collective
JANUARY 24, 2020
Furthermore, thanks to such benefits this field of development is growing very fastly and it’s critically important to optimize your product delivery and maintenance that can be done through implementing the most effective and the latest DevOps trends. DevOps managed services and assembly lines are the way of the future.
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Occam's Razor
NOVEMBER 5, 2007
My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). The fact that to make optimal decisions on the web I was going to have to be comfortable with multiple sources of data, all valuable and all necessary to win.
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. Supply Chain Management: Design, Coordination and Operation, 2003.
The Unofficial Google Data Science Blog
NOVEMBER 4, 2015
One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).
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