Datafold

For the past year, we've listened intently to the challenges data teams face—ensuring data integrity across their entire stack, scaling pipelines, and maintaining parity across complex systems. Today, we're taking a significant step forward to address these needs. Introducing the new Datafold: Unified, Proactive, Powerful. Datafold now supports Monitors, a versatile new product designed to give data teams real-time visibility into data issues across their entire stack. Whether it’s spotting unexpected schema changes, validating data across databases, or detecting anomalies in key metrics, Datafold’s new Monitors help you quickly resolve issues before they impact your business. Learn more about how Datafold and Monitors are helping modern data teams proactively prevent data quality issues, and automate data testing across their entire stack: https://lnkd.in/gqf_S9y9

It's 2024—data teams shouldn't have to deal with data quality vendor overhead or unscalable testing practices. As the unified platform for proactive data quality, Datafold provides essential tooling for core data engineering workflows: 1. CI/CD Testing Catch and fix data quality issues before they reach production with automated CI/CD testing. Integrates with dbt, stored procedures, Airflow, or any version-controlled transformation code. 2. Data Monitoring & Observability Our newest offering helps you focus on what matters through automated anomaly detection that cuts through the noise. Quickly resolve data quality issues with detailed root cause analysis. 3. Data Migration Automation Let Datafold handle the heavy lifting during your next data migration. Our AI-powered migration agent automatically converts code and validates your data across databases, ensuring a faster, smoother migration experience. Learn more below about Datafold’s platform experience for proactive data quality tooling👇 https://lnkd.in/gqf_S9y9

With Datafold’s Monitors, data monitoring starts upstream ⏫. Monitors are a powerful way to stay on top of your data quality; they allow your team to automatically track and manage the health of your data pipelines across your entire data stack. Whether it’s spotting schema changes, validating data across databases, or detecting anomalies in key metrics, Datafold’s new Monitors help you catch and resolve issues before they impact your business. Watch Datafold Product Manager Nick Carchedi demonstrate how Monitors work, and explain how they help data teams prevent data catastrophes. Want to learn more? Take a peek in the comments 👀

Like software quality, data quality can’t be solved using one tool. Problems can occur at different data pipeline stages (e.g., replication, transformation, BI, etc.), be introduced during development, or slip silently into production. At Datafold, we started by shifting left, helping data teams prevent bugs from getting from dev into production when they change code. Over time, we added more features to support other workflows, including data migrations and reconciliation. As we enabled more use cases, we recognized the need to introduce a more cohesive platform experience. Today, we’re introducing Datafold as a unified platform for proactive data quality --> https://lnkd.in/e4JQ2igc > Unified: With the newest addition of Monitors, data teams can ensure data quality at every step of their workflow from development to deployment and be the first to know about data issues in production. > Proactive: We’re staying true to our shift-left approach to monitoring data in production. Proactive means detecting issues upstream in the data pipeline, e.g., during ingest, before bad data gets pulled into transformations and data apps. Detecting issues upstream required us to solve very hard problems, such as validating data replication across databases (e.g., SQL Server > Snowflake/Databricks) at scale. But we’re up for this challenge and are excited to continue to automate away toil from data engineers' workflows!

If you're coming to COALESCE and have a data migration on your radar – Come check out my talk about automating migrations with AI! I'll share how to convert and validate a migration between warehouses and dbt at scale. Tue Oct 08, 3:30 PM - 4:00 PM PDT @ Lotus A

dbt Labs's Coalesce 2024 is right around the corner... ...and the Datafold team is ready to meet folks from the community, chat about all things data quality, and have fun! Check out where we'll be during the week: 🥥 All week: Swing by booth #307 for all things data quality (and a fresh coconut)! 📽 Tuesday, October 8th at 3:30pm: Datafold CEO Gleb Mezhanskiy's talk on automating migrations to dbt with the use of AI. 🎉 Tuesday, October 8th from 8pm-11pm: Join us and friends from Hightouch, Hex, Brooklyn Data Co. (a Velir company), Materialize, & Zenlytic for an unforgettable after party at FUHU Resorts World! Links in comments 👇

AI and machine learning are ushering in a huge shift in how we approach data migrations. Can these technologies really transform such a dreaded project into a potential business advantage? We think so. And the results will be game-changing. 🐌 Months-long slog →⚡ Lightning-fast ⌨️ Manual everything → 🤖 Fully automated ☑️ One-and-done → 🔄 Continuous micro-migrations We went deep in our latest post (and you can find the link in the comments). 

🎉 Coalesce After Party Alert! 🎉 Join us and our friends from Hightouch, Hex, Brooklyn Data Co. (a Velir company), Materialize, and Zenlytic for an unforgettable night at FUHU inside Resorts World, Las Vegas. It’s happening on October 8th, 8-11pm, and trust us—you don’t want to miss this! Come for the great company with other data folks, and stay for the good vibes. RSVP now to save your spot 👇 https://lnkd.in/euYABYhw

Datafold Product Manager Nick Carchedi joins #PoweredbySnowflake to dive deep into automated testing for data engineers! 💻🔍 Learn how Datafold ensures high-quality data in Snowflake through proactive testing and observability—helping you catch issues before they impact production. Watch the video to see Datafold in action and learn how it integrates seamlessly with Snowflake! Link in comments 👇

🗣 Calling all data folks in Atlanta! The Datafold team will be IRL in ATL at the Databricks Data AI World Tour tomorrow September 26th. We're excited to chat all things data engineering, data quality, and the role those two things play in the new world of AI 🧠