Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Learn about the filters you’ll use most often and how they work.

Aggregate functions help turn large datasets into simple summaries used across many fields. GROUP BY and HAVING allow structured grouping and filtering of data for clearer reports. Functions like ...

SAP has released its November security updates that address multiple security vulnerabilities, including a maximum severity flaw in the non-GUI variant of the SQL Anywhere Monitor and a critical code ...

Sometimes when programming you need to introduce a new data type and develop a library of functions for manipulating instances of that data type. Often this is done as methods on a new class but not ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires SQL, which varies ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Abstract: Regex-dependent string functions are string functions that take regular expressions (regexes) as parameters and are popular means of manipulating strings. They are frequently used for, e.g., ...