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Triad SQL Business Intelligence User Group

Welcome

The Triad SQL Business Intelligence Users Group is a forum where any one interested in the Microsoft business intelligence stack can meet to learn more about the product, share ideas and make contact with other similar individuals. Our group is run by Microsoft BI professionals for the benefit of anyone interested in participating in the group.

All of our meetings are free and open to anyone who is interested in sharing their knowledge of SQL Server. Our meetings are generally held on the last Tuesday of every month, unless otherwise noted. Pizza and drinks are provided.

Please register on this site to be included on the latest newsletter and emails announcing our next meetings.


Next Meeting: Tue, Apr 30 2019

Launching A Data Science Project: Cleaning Is Half The Battle

Language: English
Event Type: In-Person
Online Meeting URL: None
RSVPURL: https://www.meetup.com/Triad-SQL-Server-BI-User-Group/events/260372523/

This month we are going to dip into data science a bit. The same issues we deal with loading a data warehouse exist when starting a data science projects. We'll have pizza and drinks around 6:00 pm and kick things off around 6:30 pm. Hope to see you there!

When

iCal
UTC : Tue, Apr 30 2019 10:00 - 12:00
Event Time : Tue, Apr 30 2019 06:00 - 08:00 Eastern Daylight Time
Your Local Time: Tue, Apr 30 2019 10:00 - 12:00

Where

4821 Koger Blvd

Greensboro, North Carolina

Direction: None

Featured Presentation

Launching A Data Science Project: Cleaning Is Half The Battle

Speaker: Kevin Feasel, CTO Envizage

Summary: There's an old adage in software development: Garbage In, Garbage Out. This adage certainly applies to data science projects: if you simply throw raw data at models, you will end up with garbage results. In this session, we will build an understanding of just what it takes to implement a data science project whose results are not garbage. We will the Microsoft Team Data Science Process as our model for project implementation, learning what each step of the process entails. To motivate this walkthrough, we will see what we can learn from a survey of data professionals' salaries.

About Kevin: Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com) and author of PolyBase Revealed (forthcoming). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.

Attachments

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Contact Us:

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