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You are viewing documentation for Immuta version 2.8.

For the latest version, view our documentation for Immuta SaaS or the latest self-hosted version.

Data Consumer FAQs

For detailed instructions and information for each question, click on the links provided to redirect to the corresponding section in our Documentation.

What is a data source?

A data source is a virtual representation of data, which is exposed by Immuta according to settings created by Data Owners. These settings enable data to be accessed in a consistent manner across analytics and visualization tools.

How do I search for a data source?

A list of available data sources is provided in Immuta's Web UI. Users can search for data sources by keyword, tag, organization and category in the search bar in the top left corner.

What are projects, and why should I use them?

Video Tutorial: Creating Projects

Projects enable users to discuss their work, collaborate on data analysis, and link multiple data sources. Projects can be created by users who are interested in efficiently and logically organizing their work (Data Consumers) or users who are interested in restricting how their data is used (Data Owners).

How do I access data through Immuta?

The Immuta data control plane does not require users to learn a new API or language to access data exposed there. Immuta plugs into existing tools and ongoing work while remaining completely invisible to downstream consumers by exposing the data through these foundational access patterns: Databricks, the Immuta Query Engine, HDFS, S3, Snowflake, and SparkSQL.

Can I integrate Immuta with analytic tools I already use?

Immuta is easy to integrate with many analytic and Business Intelligence tools. Click the link above to access guides for hooking Immuta into your preferred tools.

Video Tutorial: Connecting to Immuta with Looker

Video Tutorial: Connecting to Immuta with Tableau