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Domain-Driven Development, Part 1

The Data Administration Newsletter

Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face. Like most of its predecessors, including Agile development and […].

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The Book Look: Technical Writing for Quality

The Data Administration Newsletter

Why would Technics Publications publish a book outside its specialty of data management? First, Graham is a world-renowned data modeler and the author of Data Modeling for Quality, and therefore many of his examples are in the field of data management. Second, and more […]

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Becoming a Prized Data Warehouse and Data Integration Tester

Dataversity

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […].

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The Book Look: Collecting, Connecting, and Correcting the Dots

The Data Administration Newsletter

I know very few people who specialize in one area of IT/business architecture yet have practical knowledge of how all of the areas fit together. Roger has expertise in business process management, but has deep and vast knowledge of all facets of an organization’s business architecture. Roger Burlton is one of those people.

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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

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What Is Embedded Analytics?

Insight Software

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Look for those that do not require data replication or advanced data modeling.