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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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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: 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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SCALING EXISTING DATA ARCHITECTURES IS PRAGMATIC IDEALISM

Analysts Corner

In the second edition of Data Management at Scale [1] author Piethein Strengholt reacts to the privilege — and problem — of formulating one’s thoughts at a certain point in time. What is needed is a decentralized architecture and explaining how that is built is Strengholt’ s intellectual endeavor.

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What Is Embedded Analytics?

Insight Software

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.

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Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

Insight Software

Cost Savings: By streamlining data access and reducing the need for multiple systems, Simba cuts down on maintenance and integration costs, allowing you to focus resources where they matter most. Ready to Transform Your Data Strategy? Now is the time to integrate Trino and Apache Iceberg into your data ecosystem using Simba drivers.