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.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

This project simulates a real-world business scenario where a data analyst is tasked with analyzing sales data using Python and SQL. We use a SQLite database to manage and query relational data, and ...

Considering a switch from SQL to a document model? Learn the real-world pros, tradeoffs, and what to expect from modern NoSQL ...

CloudQuery's developer-first approach to cloud governance pulls data from 60-plus sources into a single, queryable data ...

Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and academic research in da ...

Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per ...