Connect Sigma Computing and Big Query

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Sigma Computing and Big Query

What are the benefits of connecting Sigma Computing and Big Query

Connecting Big Query to Sigma Computing can allow for powerful data analytics on large datasets, leading to improved insights and decision-making. It also helps protect data privacy and compliance with a secure platform, while at the same time providing improved performance and optimization. Additionally, it enables collaboration abilities, allowing users to better collaborate while working on large datasets.

How to connect Sigma Computing and Big Query

To connect Sigma Computing and Big Query, create an ODBC connection in Sigma and authenticate it with Big Query credentials. Then, access tables in Big Query from Sigma's Query Editor and drag in desired columns and corresponding data types. Lastly, load the data into Sigma to run queries and create data visualizations.

What are the benefits of connecting Sigma Computing and Big Query in a data catalog

Connecting Sigma Computing and Big Query to Secoda will provide data teams with a single source of truth for all their data. This will help teams quickly find the data they need, track lineage and document data dictionaries. It will also reduce the amount of time spent searching for data, allowing teams to focus on more important tasks.

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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