Is Databricks worth it? Seven reasons the lakehouse pays off, four cases to pass, a 10-question self-check and a 90-day start plan.
Is Databricks worth it? 7 reasons to choose it and 4 to pass
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— Blog · The Discipline Layer for AI
Field notes on doing AI the disciplined way.
Contrarian, data-grounded essays on the three things that decide whether AI pays: a sharper problem, governed data, and demand that survives the answer-engine age.
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Growth · Featured essay
AI Content Generation: From Caves to Code
The first content strategists painted on cave walls. The newest ones orchestrate agents. This essay traces the whole arc — and shows how a disciplined content engine drove 359% organic traffic growth for a B2B client by treating generation as a system, not a shortcut.
Frank Shines & Umer Qureshi · Read the essay →
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Databricks Limitations: 9 Problems We Hit and the Fix for Each
Databricks limitations come from defaults, not the lakehouse. Nine problems we hit, from serverless timeouts to idle compute, with fixes.
ISO 42001 vs SOC 2: What Buyers Confuse and Why
ISO 42001 and SOC 2 answer different questions. One certifies how you manage AI; the other attests that your controls work. Here is when a customer needs which, and the lakehouse evidence that serves both.
Microsoft Sentinel Data Lake Pricing vs a Lakehouse
Microsoft Sentinel’s data lake tier, priced meter by meter from Microsoft’s published rates, set against the analytics tier and a lakehouse in a worked 100 GB a day example.
Power BI ADBC on Databricks: Move Off ODBC Before 2027
Power BI is swapping the Simba ODBC driver for Databricks ADBC. See the 2026-2027 dates, what breaks and a four-step migration checklist.
SOC 2 for AI Agents: What Auditors Now Expect
The AICPA has not written AI-specific SOC 2 criteria. Auditors apply the existing Trust Services Criteria to agents, and a governed lakehouse already produces much of the evidence they ask for.
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