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Metadata Management and Data Governance with Cloudera SDX

Cloudera

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

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Metadata Management & Data Governance with Cloudera SDX

Cloudera

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

I am pleased to announce that Cloudera has achieved FedRAMP “In Process”, a significant milestone that underscores our commitment to providing the public sector with secure and reliable data management solutions across on-prem, hybrid and multi-cloud environments.

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Data users in these enterprises don’t know how data is derived and lack confidence in whether it’s the right source to use. . If data access policies and lineage aren’t consistent across an organization’s private cloud and public clouds, gaps will exist in audit logs. From Bad to Worse.

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Data Sharing with Listing in snowflake

Cloudyard

Read Time: 3 Minute, 0 Second In this blog post, we will delve into Snowflake’s Listing feature, which operates on the data sharing provider and consumer model.

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Data governance beyond SDX: Adding third party assets to Apache Atlas

Cloudera

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. The SDX layer of CDP leverages the full spectrum of Atlas to automatically track and control all data assets. Type : server.

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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

This requires implementing robust data integration tools and practices, such as data validation, data cleansing, and metadata management. These practices help ensure that the data being ingested is accurate, complete, and consistent across all sources.