Welcome to SALSSA 

San Antonio League of SQL Server Administrators

Our regular monthly meetings occur on the 3rd Wednesday of each month from 6pm - 8pm. Pizza and drinks are provided at the beginning of the meeting. We meet at New Horizons Computer Learning Center located at

New Horizons Computer Learning Center

2727 NW Loop 410
San Antonio, TX 78230

For any questions please email salssa@sqlpass.org 

Next Meeting




24 Hours of PASS

  • In-Person @ 2727 Northwest Loop 410 #103 San Antonio, Texas, United States (map)
  • 18:00 - 20:00 Central Daylight Time
  • Language: English

24 Hours of PASS is in progress today, so we'll join the presentations. Presentations are going on all day today through early tomorrow morning. 

6:00 - 7:00

A Lap Around Azure Big Data and MPP Offerings - Ike Ellis

In this session, we'll explore the big three PAAS offerings of Azure:  SQL Server Data Warehouse, Azure Data Lake Analytics, and HDInsight.  We'll discuss when you'd use one over the other, how to implement them, how to know what you're paying for, and best practices for tuning and maintaining your projects with these tools.  We'll even demonstrate how you can use them all together!  

7:00 - 8:00 

Implementing Advanced Analytics with SQL Server 2017 and Python - Ginger Grant

Looking to find out what is coming next with SQL Server? Thinking about learning a new analytical language to keep up with market demand? You will want to attend this session. SQL Server 2016 added R to the analytical toolset and SQL Server 2017 is adding Python.  When looking at various lists of the most popular programming languages, Python always has one of the top positions.  This session provides an introduction to Python, including why it is a good choice for analyzing data.  If you have not had a chance to review SQL Server 2017 yet, please attend to see some of the new changes coming later this year.  One of the features covers will show what is needed to incorporate Python into SQL Server and how Python can be incorporated in stored procedures to provide the ability to analyze data using arguably the most popular programming language to review data.

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