Connect Great Expectations and Postgres

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Great Expectations and Postgres

What are the benefits of connecting Great Expectations and Postgres

Postgres and Great Expectations work together to provide reliable and scalable data services, which makes it easier to manage and maintain data. The integration of the two helps ensure data quality, reduce errors and improve data accuracy. Consequently, this connection provides efficient data processing and an improved user experience to work with data.

How to connect Great Expectations and Postgres

Great Expectations and Postgres can be connected by using the Python libraries psycopg2 and sqlalchemy. They provide an interface between Python and Postgres allowing you to easily write code to execute SQL statements and transactions. Great Expectations can then be used to define and validate data quality expectations and thresholds to ensure data is accurate and reliable.

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

Connecting Great Expectations and Postgres to Secoda allows data teams to easily find and access the data they need. With Secoda, teams can quickly find data sources, understand data lineage, and ensure data governance. Secoda also provides a single source of truth for data teams to make sure data is accurate and up to date.

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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