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Data Mesh 101: How Data Mesh Can Be Used in an Organization

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Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations.

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Data Mesh 101: What it is and Why You Should Care

Ontotext

Although the enterprise data landscape is littered with new data technology and offerings, the most pressing problem data teams face today isn’t a lack of technology or skills; it’s not knowing how to create a modern data experience. Why Data Mesh?

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Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

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In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

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Cloud Data Warehouse Migration 101: Expert Tips

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There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? What do you migrate, how, and when?