Connect Great Expectations and Databricks

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Great Expectations and Databricks

What are the benefits of connecting Great Expectations and Databricks

Connecting Databricks to Great Expectations allows for easily understandable, automated data testing and validation. By connecting these tools, organizations can achieve cost savings, increased accuracy, reliable data quality, more efficient data handling and faster process times. This connection also provides the ability to audit and track data sources, detect anomalies and build trust in data.

How to connect Great Expectations and Databricks

Great Expectations and Databricks can be connected by loading data into the Databricks platform and then using the Great Expectations library in the notebook to validate and document data. Furthermore, the compatibility between the packages allows for efficient data exploration, analysis, and automation.

What are the benefits of connecting Great Expectations and Databricks in a data catalog

Connecting Great Expectations and Databricks to Secoda allows data teams to quickly and easily find the data they need. It also provides a single source of truth for data governance and helps ensure data quality. Secoda's automated data catalog makes data teams more efficient and helps them get the most out of their data.

Manage your modern data stack with Secoda

We’ve built Secoda as a single place for all incoming data and metadata, a single source of truth. Collecting and analyzing essential to ensuring your company is making the right decisions and moving in the right direction. Secoda gives every employee a single plane they can go to in order to find, understand and use company data.

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