Build Trust in your Data with OpenMetadata: Intro to Data Quality and Profiler
Trusting your data is a complex job. It often requires heavy engineering for writing tests and understanding your data. Together with the experts behind OpenMetadata, we’ll explore OpenMetadata’s native Data Profiler and Data Quality tests.
In this webinar, you will learn how to:
Set up data quality tests without writing a single line of code
Understand the shape of your data using our data profiling tool
Create alerts on data quality test failures
Connect to external tools such as DBT.
Data should be discoverable, understandable, and trustworthy. Achieving this can easily become an engineering nightmare, trying to put together different tools and platforms while juggling the company’s policies and constraints. The result? Hard to maintain architectures and engineer-focused solutions that cannot scale easily.
With OpenMetadata as an integrated solution, every user can bring their knowledge and ensure that teams get their data right. You can now discover, collaborate and trust your data using a single tool.
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About OpenMetadata:
OpenMetadata is an all-in-one platform for data discovery, lineage, data quality, observability, governance, and team collaboration. OpenMetadata (https://open-metadata.org/) is an open-source project supported by Collate, Inc. (https://www.getcollate.io/). Collate also supports a SaaS version (https://cloud.getcollate.io/).
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