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Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...

Which feature in SQL Server and Azure Synapse Analytics lets you run T-SQL queries against external data stores and makes those external sources appear as tables in a SQL database?

I am currently working on a FastAPI application which calls Databricks using databricks-sql-connector, however the code appears to slow down massively on the engine creation stage. I've narrowed the ...

Want to start developing LLM applications but worried about API keys? Well you should because they can get pretty expensive, obviously it depends how much data you're using though. Wouldn't it be good ...

Databricks is a fascinating tool which boosts a plethora of features and capabilities. Amongst this depth of capabilities is the ability of parallel processing offered by the spark engine. However, ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration, and ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...