This the new site for the St. Louis SQL Server (STLSSUG) and Business Intelligence (STLBIUG) user groups.
- 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.
The breadth of data platform options available to us today is staggering: between relational, object, graph, and document databases, we have a wide array of data storage and processing options. This talk will guide you through the contemporary data platform space and shed light on the way these technologies integrate and compete with one another. We'll discuss when to use (and when not to use) Spark, Postgres, Airflow, and Flink, as well as a range of other interesting tools and technologies. By the end of this talk, you may not have MongoDB or Neo4J, but you will know where they might (or might not!) fit in your environment.
About Your Presenter
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), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.