May 2019: Solving Common Data Problems, Methods & Tactics

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Presented by Neil Barton

CTO, WhereScape

Neil and his colleagues at WhereScape Consulting are an experienced set of chaps that will build (or assist with) data warehouse projects. For this months presentation we have asked Neil to come and talk to us about common data problems he encounters with large data migrations and how he and the team at Wherescape solve them as well as his thoughts around identifying and normalizing master data when combining multiple legacy systems We intend this to be an interactive session so bring your questions or data problems you are struggling with and let’s start the discussion.

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April 2019: Data Lakes & AutoML

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Presented by Jason Robey

Cloud Solution Architect, Data & AI, Microsoft

This talk is a two-parter. Microsoft Cloud Solution Architect Jason Robey joins us on April 18th to share two areas of great interest for our members.

The first area of discussion will be on the establishment of a data lake: governance and best practices and how to keep your lake ecosystem healthy and vibrant. Have you swam in a data lake before? Has your company? No matter what your experience level this portion of the talk should offer some great tips.

The second half of Jason’s talk will be on automated machine learning (AutoML). Automating the construction and tuning of machine learning models has long been a goal for many analytics teams. Existing automated machine learning (AutoML) techniques have been remarkably successful in identifying good parameters for a given model, sometimes even outperforming humans. AutoML iterates over many combinations of machine learning algorithms and parameters. It then finds the best-fit model based on your chosen accuracy metric. Jason will demo some of these experiments during the second half of his presentation.

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