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Chapter 6 - Analyzing Data

Audience: Data Owners and Data Users

Content Summary: This page sets the context for analyzing data while using Immuta and includes links to specific tutorials.



Now that you have a full Immuta instance set up, it is time for Data Users to start retrieving data and analyzing it. This chapter covers how Data Users can start accessing the data they need as well as a few popular analytic tools and the special considerations that should be taken with them.

Analytic tools will most often retrieve data through Immuta's PostgreSQL Query Engine (unless your Immuta instance leverages native workspaces). However, since the backing database can be of many different forms, data users can benefit from knowing exactly how Immuta translates a data request into a policy-compliant result set. The best practices for the PostgreSQL access pattern page offers guidance on getting optimal performance from your databases and tools.

Some tools require special considerations for setup or the sharing of data artifacts. The resources below offer additional guidance for a small selection of tools and can also serve as a starting place for working with similar software.

Chapter Objectives

By the end of this chapter you will

  1. understand how Data Users interact with data sources.
  2. be able to manage your own subscriptions to data sources.
  3. be able to retrieve and analyze data from one of the described tools in an efficient and correct way.

Chapter Contents

Concept Overview: Each of these pages explains a concept and how it connects to other features in Immuta.

Tutorials: Each of these pages provides step-by-step instructions for using a feature in Immuta.