The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

Get started with BigQuery for content analysis using Google Search Console data. Tips, tricks, best practices, and queries are provided.

For the past fifty years, SQL has helped us understand, manipulate and use our data to our advantage.

SQL Server 2016 adds new support for the JSON format when retrieving rows from a database table. Because most Web Services now return data in the JSON format, this support can simplify those Action ...

Joey on SQL Server Deep Dive into SQL Server 2022's Query Performance Features, Part 2: PSP Optimization Reduce workload times with this handy feature that can benefit every database pro.

Structured Query Language (SQL) is a proven winner that has dominated for several decades and is currently being aggressively invested in by big data companies and organizations such as Google ...

Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.