The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in control, according to the data warehousing giant.

These books cover everything from beginner SQL queries to advanced database architecture.Perfect for developers, data ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

Explore the best data analyst training programs for 2025, from beginner to advanced, ... You will explore key topics such as SQL, exploratory data analysis, and decision-making, ...

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python.

“IDERA SQL Workload Analysis makes my job a lot easier by digesting information from SQL Diagnostic Manager and helping me resolve database issues,” says Rick Laufer, SQL DBA at Employ Bridge ...

Take, for example, Slack, the mega-popular $3.8 billion chat app startup, which has been an early Sigma customer. Somebody in the company's financial department taught themselves SQL, got the hang ...