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Just Fetch the Data and then...

Posted Jul 27
# Data Science
# LexisNexis
# Tardis Iron Box
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SPEAKER
David Bayliss
David Bayliss
David Bayliss
Chief Data Scientist @ LexisNexis Risk Solutions

One of the creators of the world's first big data platform (HPCC); David has been tackling big data problems for two decades. A mathematician, compiler writer, and data sponge with more than five dozen patents spanning platforms linking, and search.

Most inventors think outside the box; David can't even remember where the box is. He leads the team that creates their core Data Science methods used by hundreds of data scientists.

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One of the creators of the world's first big data platform (HPCC); David has been tackling big data problems for two decades. A mathematician, compiler writer, and data sponge with more than five dozen patents spanning platforms linking, and search.

Most inventors think outside the box; David can't even remember where the box is. He leads the team that creates their core Data Science methods used by hundreds of data scientists.

+ Read More
SUMMARY

Composing data to extract features can be a significant problem. Key factors are the data size, compliance restrictions, and real-time data. Ethics (and law) can drive extremely complex audit requirements. In the cloud, you can do anything - at a price.

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