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I benchmarked the new Lakehouse RT: It’s fast, cheap, and open-format
I benchmarked the new Lakehouse RT: It’s fast, cheap, and open-format

Most teams assume faster real-time queries mean higher compute costs. We benchmarked Databricks' new RT Lakehouse engine across datasets from 1 million to 50 billion records to find out, and the results reset what "fast" costs on a lakehouse.

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The Translator’s Gone: Inside Databricks' Direct Engine
The Translator’s Gone: Inside Databricks' Direct Engine

Databricks just replaced the engine behind DABs deployment. Here's what Direct Engine changes, why it matters, and how to migrate your existing bundles before Terraform support goes away.

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Full-text search index on Databricks. How we cut search time by 400x

Full-text search index on Databricks. How we cut search time by 400x


We benchmarked Databricks' new full-text search index across tables from 100M to 10B rows. The result: a 10B-row word search dropped from 71 minutes to under 11 seconds: a 99.75% speedup! Here's how the feature works, how to set it up, and when it's not worth using.

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From Informatica to Databricks: What Actually Works in Production

Informatica's new LTS pricing means staying put is no longer free — it's a recurring tax on a platform with a shrinking capability roadmap. This guide covers the full migration path from PowerCenter to the Databricks Lakeflow stack: the CFO-ready business case, a construct-by-construct translation guide, and the five-phase M5 methodology SunnyData runs on every engagement. If your team is weighing IICS versus a full re-platform, the architecture decision and cost model are here.

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