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Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained

Data Virtualization

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

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Apache Kafka and the Denodo Platform: Distributed Events Streaming Meets Logical Data Integration

Data Virtualization

It can benefit the management of microservices, The post Apache Kafka and the Denodo Platform: Distributed Events Streaming Meets Logical Data Integration appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Data Integrity, the Basis for Reliable Insights

Sisense

However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. In this article, we’ll dig into the core aspects of data integrity, what processes ensure it, and how to deal with data that doesn’t meet your standards.

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Embracing Data Mesh: A Modern Approach to Data Management

Data Virtualization

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

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Data Governance in a Data Mesh or Data Fabric Architecture

Data Virtualization

Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve.

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Creating a Vision for Data Integration Modernization

TDAN

Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance. It is perhaps no surprise then, that the value of all the world’s data is projected to reach $280 billion by 2025.

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Data Governance Made Simple

TDAN

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.