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Engineering Fast Indexes for Big Data Applications: Spark Summit East talk by Daniel Lemire

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Published on Feb 13, 2017

Contemporary computing hardware offers massive new performance opportunities. Yet high-performance programming remains a daunting challenge.

We present some of the lessons learned while designing faster indexes, with a particular emphasis on compressed bitmap indexes. Compressed bitmap indexes accelerate queries in popular systems such as Apache Spark, Git, Elastic, Druid and Apache Kylin.

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