Every article on this topic.
6 articles, newest first
Enterprise AIDatabricks Genie and Agent Bricks: AI on enterprise data
Databricks Genie lets business users ask questions of governed data in plain language, and Agent Bricks is where developers build agents on top. Here is what each does today, what makes answers accurate, where it breaks, and how to run a first pilot in manufacturing or defence.
· 10 min read
Data platform costDatabricks pricing explained: DBUs and what you really pay
Databricks bills in DBUs, but the DBU rate is only part of the bill. Here is how the rates differ by compute type and tier, what the cloud provider charges on top, and where the money actually leaks.
· 10 min read
Data governanceUnity Catalog in Databricks: governance set up properly
Unity Catalog is the governance layer for everything in Databricks: one place to control access, track lineage and prove who touched what. Here is how it works and how to design it so it still makes sense in year three.
· 11 min read
Microsoft FabricDatabricks vs Microsoft Fabric: a decision guide
Fabric is the faster path for a Microsoft shop whose main output is Power BI. Databricks is the stronger engineering and ML platform. Many organisations end up running both, and that can be the right answer if you design it on purpose.
· 10 min read
SnowflakeSnowflake vs Databricks: how to choose in 2026
Both platforms now do warehousing, data engineering, Postgres and AI agents. The choice comes down to where your work starts, who runs it and who pays the cloud bill. Here is how I would decide.
· 10 min read
Enterprise AIWhat is Databricks used for? A plain-English guide
Databricks is where companies bring their data together, clean it, and use it for reporting, machine learning and AI. Here is what it does, what it is not for, and how to tell whether you need it.
· 10 min read
Tell me what you're working on.
A 30-minute call. You describe the programme, the decision or the problem. I'll tell you whether I can help, and if I can't, who might.
