Reaching for MERGE by default is one of the most expensive habits in data engineering. The right write pattern depends on your source — here's the decision, one question at a time.
Read MoreGetting data in seems simple until the bill arrives or the SLA is missed. Two questions — what's the source, and how fresh must it be — decide the right pattern every time.
Read MoreOne storage account, four very different tools. Here's what Blob, File, Queue, and Table each do — and one app that uses all four — in the simplest way possible.
Read MoreThree ways to lay out a Delta table so queries read less data — and the senior skill isn't picking the newest one, it's knowing when NOT to switch. Explained with a bookstore.
Read MoreNo database server, no lock manager — just files and a log. Here's how two Spark jobs can write the same table at the exact same moment and never corrupt it.
Read MoreYour executors have 64 GB and the job still dies with OutOfMemoryError. The culprit is the one part of Spark everyone forgets about — the Driver. Here's why it crashes and how to size it, in plain English.
Read MoreFollow one Delta table from CREATE to time travel and watch exactly what happens on disk — the Parquet files, the transaction log, and how that log quietly powers ACID and versioning.
Read MoreRaw data goes in one end, business-ready data comes out the other — refined in three clear stages. Here's the Bronze, Silver, and Gold pattern (plus the semantic layer), traced through a real production pipeline.
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