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  1. Governance
  2. Author Policies for Data Access Control

Introduction

PreviousAuthor Policies for Data Access ControlNextScalability and Evolvability

Last updated 2 hours ago

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Managing access control in your data platform typically starts off easy, but over time becomes a house of cards. This concept is termed role explosion and is a result of having to keep up with every permutation of access across your organization. Once this occurs, it becomes difficult to evolve policies for fear of breaking existing access or because of a lack of understanding across your extensive role list.

Immuta allows you to apply engineering principles to how you manage data access, giving your team the agility to lower time-to-data across your organization while meeting your stringent and granular compliance requirements. Immuta allows massively scalable, evolvable, and understandable automation around data policies; creates stability and repeatability around how those policies are maintained; allows distributed stewardship across your organization, but provides consistency of enforcement across your data ecosystem no matter your compute or data warehouse; and fosters more availability of data through the use of highly granular data controls.

How does it work?

Each of the guides below explains governance principles in detail:

  • : A scalable and evolvable data management system allows you to make changes that impact thousands of tables at once, accurately. It also allows you to evolve your policies over time with minor changes (or no changes at all) through policy logic.

  • : Immuta can present policies in a natural language form that is easily understood and provide an audit history of changes to create a trust and verify environments. This allows you to prove policy is being implemented correctly to business leaders concerned with compliance and risk, and your business can meet audit obligations to external parties or customers.

  • : Immuta enables fine-grained data ownership and controls over organizational domains, allowing a data mesh environment for sharing data - embracing the ubiquity of your organization. You can enable different parts of your organization to manage their data policies in a self-serve manner without involving you in every step, and you can make data available across the organization without the need to centralize both the data and authority over the data. This frees your organization to share more data more quickly.

  • : With inconsistency comes complexity, both for your team and the downstream analysts trying to read data. That complexity from inconsistency removes all value of separating policy from compute. Immuta provides complete consistency so that you can build a policy once, in a single location, and have it enforced scalably and consistently across all your data platforms.

  • : Because of these highly granular decisions at the access control level, you can increase data access by over 50% in some cases when using Immuta because friction between compliance and data access is reduced.

Scalability and Evolvability
Understandability
Distributed Stewardship
Consistency
Availability (of data)