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Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments.

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Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. With Materialize, you can! Want to see Starburst in action?

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Data Mesh Architecture: Reimagining Data Management

KDnuggets

The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. Here’s a closer look.

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Laying the Foundation for Modern Data Architecture

Cloudera

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

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Data Architecture and Strategy in the AI Era

Cloudera

As organizations continue to navigate this AI-driven world, we set out to understand the strategies and emerging data architectures that are defining the future. In fact, two thirds of respondents agreed that data lakehouses were crucial to reducing pipeline complexity.

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Composable data management at Meta

Engineering at Meta

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. Data is at the core of every product and service at Meta. Data is at the core of every product and service at Meta.