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8 jq patterns that make JSON work painless
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 ...
The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...
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 ...
Black holes, the densest objects in the universe, eat up anything that comes too close, even light. Is there anything left inside these behemoths that could reveal what they devoured in the first ...
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., ...
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