Datafold

@datafoldcom

Automating data migrations and critical data engineering workflows to help data teams ship high-quality pipelines faster and more confidently.

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加入于 2020年11月

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Datafold
@datafoldcom
2025年1月29日
Data engineering shouldn't be detective work 🔬 Introducing AI analysis for code review: ✨ Automated PR summaries ⚡️ Root cause analysis for data diffs 💻 Context-aware chat investigation get.datafold.com/ai-in-ci-blog-…
Datafold
@datafoldcom
2025年2月27日
🚀 Data migrations taking forever? AI is changing the game. On the latest Data Engineering Podcast epsiode, @glebmm dives deep into AI-powered automation, LLMs in data workflows, and the future of data engineering. Don't miss it! 🎧👇
dataengineeringpodcast.com
The Future of Data Engineering: AI, LLMs, and Automation
Summary In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data…
Datafold
@datafoldcom
2025年2月13日
Data migrations are slow, expensive + risky—until now. 🚀 Introducing Automatic End-to-End Data Validation. 🔹 AI-powered code conversion 🔹 100% data parity before go-live, no manual checks needed Migrate with confidence. get.datafold.com/x-amd-blog
Datafold
@datafoldcom
2025年2月13日
Data migrations have long been painful & manual. ❌ SQL mismatches ❌ Hidden business logic ❌ Endless validation headaches. But AI has caught up. Learn how Datafold’s Migration Agent automates legacy code translation, refactoring & validation. 🔗 get.datafold.com/x-dms-automati…
Datafold
@datafoldcom
2025年2月12日
Our team had the pleasure of speaking to seven leading data practitioners about their data migration experiences—the good, the bad, and the ugly. Learn about their strategical and technical best practices for faster, less stressful data migrations 👇 get.datafold.com/x-dms-ryan

Datafold

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