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Databricks Lakebase branching speeds up CI/CD testing with isolated data copies

By PulseAugur Editorial · [2 sources] ·

Databricks has introduced Lakebase branching, a feature that allows for the creation of isolated, read/write copies of production data in under a minute. This capability is particularly beneficial for CI/CD pipelines, enabling faster testing against production-like data. Snorkel AI, a data development tools provider, has successfully implemented Lakebase branching to provide each open pull request with its own database branch, significantly reducing testing times from over 30 minutes to under 60 seconds. AI

IMPACT Accelerates AI development workflows by providing faster, production-like data environments for testing.

RANK_REASON Databricks blog post detailing a new feature for their Lakebase product and its application by a specific customer.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Databricks Lakebase branching speeds up CI/CD testing with isolated data copies

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Databricks blog post detailing a new feature for their Lakebase product and its application by a specific customer.
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2 independent sources
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product, infra
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3 days old
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COVERAGE [2]

  1. Databricks Blog TIER_1 English(EN) ·

    Lakebase branching for CI/CD: lessons from 100 PR databases

    The problem: testing against production data shouldn't take over 30 minutesSnorkel...

  2. Mastodon — mastodon.social TIER_1 English(EN) · ainews_direct ·

    Databricks / Mosaic AI: Lakebase branching for CI/CD: lessons from 100 PR databases https:// ai-news.ypetit.net/?a=2fxhurv0 7iq&utm_source=mastodon&utm_medium=s

    Databricks / Mosaic AI: Lakebase branching for CI/CD: lessons from 100 PR databases https:// ai-news.ypetit.net/?a=2fxhurv0 7iq&utm_source=mastodon&utm_medium=social&utm_campaign=bot # AI # Databricks

    LINKS ai-news.ypetit.net ai-news.ypetit.net

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