Practical SQL queries are central to data analysis, including selecting films, finding special features, listing active customers, and more. Homework assignments reinforce learning through ...

Azure Analysis Services is designed to help companies get the benefits of cloud processing for semantic data modeling, while still being able to glean insights from data that’s stored either on ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or ...

Sigma already uses the extremely common SQL language for "asking" questions of the data, such that most C-level executives or accountants who need to use it likely already know how.

NEW YORK, Dec. 15, 2021 — Sisense, a leading AI-driven platform for infusing analytics everywhere, today announced Sisense Notebooks, a new code-first functionality within Sisense Fusion Analytics ...

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

3. Manage a SQL database If you plan to pursue a career in IT or data science, you’ll want to learn how to manage a database and set it up for scalable growth.

Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.