Demystifying Data Mesh Architectures: A Paradigm Shift in Data Management

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Demystifying Data Mesh Architectures: A Paradigm Shift in Data Management

In the ever-evolving landscape of data management, one concept has been making waves in recent years: data mesh architectures. This innovative approach, introduced by Zhamak Dehghani in 2019, represents a fundamental shift from traditional centralized data models to decentralized, domain-oriented architectures. In this blog, we'll delve into the origins, principles, benefits, challenges, and considerations of data mesh architectures.

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5 Pitfalls to Dodge when Going through a Software Selection Process

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5 Pitfalls to Dodge when Going through a Software Selection Process

In today's digital age, choosing the right software for your business is very important. No matter what type of software or business solutions you are looking for, making the wrong decision can lead to wasted time, resources, and frustration. To help you in preventing this, let's delve into five common pitfalls to avoid when selecting software:

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5 Essential Steps for a Successful AI Rollout Strategy

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5 Essential Steps for a Successful AI Rollout Strategy

In today's fast-paced digital landscape, businesses across industries are increasingly turning to Artificial Intelligence (AI) to drive innovation, streamline processes, and gain a competitive edge. However, implementing AI initiatives requires careful planning and execution to ensure success. A well-thought-out AI rollout strategy serves as the foundation for achieving desired outcomes and maximizing ROI. Here are five essential steps to consider when crafting your AI rollout strategy:

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7 Strategies to Master Digital Disruption: Uniting Business Strategy and IT Innovation for Industry Transformation

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7 Strategies to Master Digital Disruption: Uniting Business Strategy and IT Innovation for Industry Transformation

For companies aiming to digitally disrupt their industries, the relationship between business strategy and IT strategy becomes even more critical. Read further about how they can approach this.

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Will 2015 be the year of Big Data? Or was 2014 already that?

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Will 2015 be the year of Big Data? Or was 2014 already that?

I just read the following interesting article on Big Data. That Big Data is here to stay is obvious, but the trick will be to use Big Data smartly . That is why I often speak of Smart Data instead of Big Data.

The data itself does not necessarily have to be 'Big'. Much more important is what you want to do with that data and how you want to interpret it. There has to be some purpose. Its quality and governance are also important.

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