If your business uses relational databases to store data, it helps to use the SQL SELECT command with the INTO clause to create new tables from query results. This method isn't ANSI-standard SQL, but ...

SQL Server 2016 lets you treat JSON objects like rows in a table, allowing you to use data from AJAX queries in joins, updates and any other SQL statement you can think of. SQL Server 2016 provides ...

Five system table queries to track Databricks spend — by product, warehouse, and team, with anomaly detection and AI ...

A common SQL habit is to use SELECT * on a query, because it’s tedious to list all the columns you need. Plus, sometimes those columns may change over time, so why not just do things the easy way? But ...

"Find the best-selling product from last year." When an AI system attempts to answer a question like this by querying a company database, even a single reference to a nonexistent item can cause the ...

Build a lightweight SQL regression detector that tracks latency, detects anomalies, analyzes plans, and catches slowdowns ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

The indexes on a the tables of a large database make a huge difference in its performance and utility. Without an index, locating a single record in a large table can take several seconds; with the ...

The feature, SQL Property Graph Queries (SQL/PGQ), became part of the SQL standard in 2023. It provides syntax for exploring relationships between nodes connected by edges. PostgreSQL's implementation ...