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.

I discovered artificial intelligence tool GPT Excel in my quest to cut down on all the busywork it takes to create and update spreadsheets.

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

Many Gemini app features are available for free, while $19.99 per month for Google AI Pro unlocks a lot more. Google AI Ultra ...

Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per second. The service is based on PostgreSQL, a popular open-source relational ...

By 2030, the company plans to invest $12.7 billion across its Mumbai and Hyderabad regions, contributing $23.3 billion to ...

Snowflake's growth and AI integration, but uncover concerns over stagnant margins and growing losses. Read more on why I'm ...

A practical guide for CMOs on demand gen vs. lead gen: how to choose, when to blend, and what actually drives long-term ...

San Diego-based Tealium introduces CloudStream, a unified solution that eliminates data duplication while connecting ...

Software product engineering is undergoing a massive transformation, and Google Cloud Platform (GCP) is at the forefront.

Navigating the ever-expanding universe of AI models can feel overwhelming. With OpenAI continually releasing new versions of ChatGPT, how do you know which ...

NAB has detailed its 2023 Teradata decommissioning publicly for the first time, revealing how the data team rebuffed pressure ...