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Making Data Science Easy – Part 1 - Hadoop

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Making Data Science Easy – Part 1 - Hadoop

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To expedite check-in the day of the event, please pre-register here (https://www.eventbrite.com/e/making-data-science-easy-part-1-hadoop-tickets-28374735598).

Speaker will cover the why and how of leveraging Hadoop for Analytics and Data Science.

• How leveraging Hadoop for Analytics and Data Science is effective for business.

• A review on Hadoop's Internals

• Exploring the Hadoop Filesystem

• Hadoop Architecture

• Use-Cases on Hadoop

The presentation will include a demo on how to explore, analyze, and visualize data with Hadoop.

(This is part 1 of 3 discussions on this topic)

Presenter Bio:

Thomas Liakos. Long time Systems Engineer/DevOps Engineer in open source. I've worked in baremetal, cloud, and hybrid environments. From Distributed systems, to datawarehouses. My current role at this time is at IBM providing insights on Open Source Analytics.

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