Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

As I described here, Power BI can send SQL queries in parallel in DirectQuery mode and you can see from the Timeline column there is some parallelism happening here – the last two SQL queries ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

If you just use AI to optimise an old process, you are effectively trying to make horses run faster instead of inventing the automobile. True ROI is unlocked when you use AI to completely reinvent ...

Sam Altman rejects viral claims that ChatGPT uses gallons of water per query, but says AI’s total energy demand is a fair concern.

OpenAI rolls out GPT-5.3 Instant, improving ChatGPT with fewer refusals, smarter web answers, lower hallucination rates, and stronger writing.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Keep things human, but don’t fear Artificial Intelligence (AI), says Edmonton AI expert Kristian Bainey.

AI’s next leap won’t come from bigger models or longer context windows, but from better-organized knowledge.