big data in healthcare Himadri Sarkar - Approximate algorithms for summarizing streaming data

Approximate algorithms can be used for processing huge streams of incoming data using only a single pass. These algorithms consume finite amount of memory and cpu cycles. They enable us to maintain summaries which are sufficient to answer expected queries about the data.

Two such novel algorithms, finding lots of applications in the industry today are
1) Count min sketch (CMS)
2) HyperLogLog

This talk aims to:
1) Provide a brief introduction to theoritical aspects behind these algorithms
2) How they can be leveraged to summarize unstructured data for practical purposes.
3) How to choose the tuning parameters pertinent to your needs.
4) Demonstrate how we have used them in Sumologic service.

big data in healthcare Himadri Sarkar - Approximate algorithms for summarizing streaming data
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