What we're about

This the new site for the St. Louis SQL Server (STLSSUG) and Business Intelligence (STLBIUG) user groups. The first incarnation of this group began in 2004.

Our Recordings are Posted at: https://www.youtube.com/channel/UCM18n_v3EOP1KBlsCPRalSg/videos

Our Purpose
- To establish channels of communication and education for individuals working with the SQL Server Database Management System, Microsoft's Modern Data Warehouse and Business Intelligence tools.
- To conduct conferences, meetings, discussion groups, forums, panels, lectures and other programs which enable the exchange of information.
- To encourage the development of related SQL server and Azure Data Platform products, working methodologies and best practices. 
- To promote excellence in information processing through the recognition individuals, who judged by their peers, put forth the highest efforts and succeed in best utilizing these technologies within their enterprises.

Code of Conduct 
St. Louis SQL Server (STLSSUG) and Business Intelligence (STLBIUG) Meetup Group supports the diversity of our community. We strive to welcome different perspectives in a community where everyone feels respected and valued, and are committed to inclusion across race, gender, gender identity and expression, sexual orientation, age, ability, geography, religion, identity, and experience. Above all, we ask that all members be kind to one another and conduct themselves respectfully, creating a positive experience for everyone involved.
-  Conduct yourself with integrity, respect, honesty, and credibility.
- Approach all events and interactions in accordance with the highest ethical standards of professionalism and personal conduct.
- Embrace the diverse community of professionals and learners, and be inclusive of all audiences in your presentations, demonstrations, conversations, and comments.

Upcoming events (2)

Modeling made easy

Needs a location

Abstract:
Is your organization looking to unlock valuable insights for large amounts of text data for sources like social media posts, product reviews and survey results ? Have you already tried techniques like key words/phrases, sentiment analysis or word cloud, but are looking for deeper insights ? Topic modeling will elevate your Natural Language processing/Text Analytics to the next level and help your organization discover valuable business insights.

This demo filled session uses a real life use case of Team Health Survey data to introduce attendees to the concepts , tools and techniques of topic modeling. Using Jupyter notebook, we will walk through the python code demo for ;

  • Data loading, clean-up and pre-processing
  • Tokenization, Stop words, n-grams and lemmatization
  • Iterate through model training and evaluation
  • Visualize output and interpret human readable topics
  • Business value and application of topic modeling

Goals

  • Understand the concepts and techniques of topic modeling
  • Learn how to train and evaluate topic model
  • Learn how to visualize its outputs and interpret topics
  • Understand the business value and application of topic modeling

Prerequisites

  • Basic knowledge of Python
  • Basic knowledge of statistics
  • Interest in business application & value of Natural Language Processing

Bio:
Sanil Mhatre is a Lead Data Scientist with background in Business Intelligence, Data Engineering, Database Administration and Data & Cloud Platform Architecture. He leads a team delivering Advanced Analytics for a technology services and solutions company. Sanil has a Master's degree in Information systems and enjoys working with various visualization platforms and coaching high performance teams with Agile best practices. He is an active blogger and a frequent speaker at technical conferences and user groups. He volunteers with STEM mentorship programs and various teaching initiatives. When Sanil isn't working, he enjoys spending time with family & friends, swimming and hiking with his dogs.

What's new in SQL Server 2022?

Needs a location

Abstract:
SQL Server 2022 is a big release with updates to T-SQL, Intelligent Query Processing, HA/DR, and more. Attend this session to learn about many of the new features you will find in SQL Server 2022 once it's released

Bio:
Kathi Kellenberger is the editor of Simple Talk at Redgate and a Data Platform MVP. She has worked with SQL Server since 1998 and has authored, co-authored, or tech reviewed over twenty technical books. Kathi is a volunteer at LaunchCode in St. Louis where she teaches T-SQL in the LaunchCode Women + program. When Kathi isn’t working, she enjoys spending time with family and friends, cycling, singing, and climbing the stairs of tall buildings.

Past events (18)

Deep Dive into the Power BI REST API

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Photos (6)