Remove Cloud Remove Data Governance Remove Metadata
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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

Combining Octopai capabilities with Cloudera’s AI powered hybrid data platform provides deeper data understanding, enhanced security, and robust data governance – essential for driving AI and analytics success. This automated data catalog always provides up-to-date inventory of assets that never get stale.

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Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera

Data Engineering Podcast

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

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Level Up Your Data Platform With Active Metadata

Data Engineering Podcast

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

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Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

Instead of relying on a central data management team, this architecture empowers your subject matter experts and domain owners to curate, maintain, and share data products that impact their domain. A data fabric weaves together different data management tools, metadata, and automation to create a seamless architecture.

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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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Snowflake Unistore: Hybrid Tables Now Generally Available

Snowflake

These organizations and many more are using Hybrid Tables to simplify their data architectures and governance and security by consolidating transactional and analytical workloads onto Snowflake's single unified data platform. We’re incredibly excited about the new possibilities we see customers discovering.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.