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This workshop will be held online in two parts. Participants must attend both parts to complete the workshop. Registration covers both sections.

Part 1: Saturday, October 23 | 9:00am – 12:00pm
Part 2: Saturday, October 30 | 9:00am – 12:00pm

Want to register, but can’t attend both sessions?
Contact us to discuss options


Harness SQL for Data Analytics

Storing, cataloging, and retrieving data has become essential in today’s data-rich environment. SQL has been the workhorse of database management for a generation and remains a bedrock tool for modern data science. This workshop introduces students to the SQL environment, principles of database management, and basic tools for working with databases.

Topics include:

  • Basic structure of relational databases
  • Techniques for manipulating and pulling data from SQL data bases
  • Database management

Instructor

Daniel Maenle embraces everything SQL has to offer. He enjoys performance tuning and likes talking about all aspects of Microsoft SQL Server. He focuses on being an expert at Extended Events, SQL Audit and Query Store to assist in performance and monitoring of servers. Dan started in SQL in 2013 and has never backed down from learning since then. It was like finally finding his true niche, but he had to hit the ground hard and fast to be able to catch up. He is currently President of the Kansas City SQL Servers User Group and is an active speaker/participant of SQL Saturdays. He treasures being in the SQL community that has been helping him grow as a professional and thus, he wants to serve it in return. He has a passion for travel and loves learning about new culture and trying food from around the world with his wife.

Discounts

Course discounts are available for UMKC faculty, staff, and students. Group discounts may also be available for interested organizations. Contact us for details.

Explore the Data Analytics Workshop Series

SQL for Data Analytics is one of eight courses in the UMKC Data Analytics Workshop Series. Click Here to view the full series.

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