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With more than 20 years of experience in data analytics, Andy Mott is skilled at optimizing the utility of analytics within organizations. When determining how to generate value or fortifying existing revenue through technologies, Andy considers the alignment of an organization's culture, structure and business processes. He ensures that the strategic direction of the organization will ultimately enable organizations to out compete their respective markets. In his spare time, Andy enjoys tinkering with his home Hadoop cluster and Linux is his preferred operating system. Andy Mott is currently EMEA head of partner solutions architecture and a Data Mesh lead at Starburst, and lives in the United Kingdom.
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Organizations today are using artificial intelligence and machine learning to answer complex business questions. They often follow an artificial intelligence development life cycle to...
Answering predetermined questions was based on a centralized and well-articulated data model, but failed to enable data exploration, experimentation and evolution of the data-driven business strategy. These failures only get worse with time as more data needs to be integrated and the platform becomes more fragile to change. Ultimately this fails to deliver timely and competitive business results. As we’ve seen, providing known data to answer known questions can be done using many well-known data architectures, but that’s only part of the story.
If your organization still has centralized massive data lakes, it becomes really, really difficult to shift through that data lake to find out particular data points that need to be extracted to do your reporting. So the only game in town are the principles of data mesh and data products…
2022 ended with many successful AI models being deployed, including OpenAI’s ChatGPT. There’s no doubt that there will be plenty more successes in 2023....
Regular readers of our blog know that many businesses have found success managing data as a product. In essence, they have learned how to...
In 2019, Zhamak Dehghani defined a new approach to manage data based on decentralized ownership of data. As a refresher, Data Mesh is based...
As we’ve gone from Data Mesh theory to practice, organizations have been shifting their focus towards the central tenet of Data Mesh — building...
Recently we co-authored the book Data Mesh For Dummies, along with our colleague Adrian Estala. We greatly enjoyed writing the book and collaborating to...
Proponents of Data Mesh understand its many game-changing benefits for large scale organizations. For those who are new to this reimagined framework, Data Mesh...
Despite the investments and effort poured into next-generation data storage systems, data warehouses and data lakes have failed to provide data engineers, data analysts,...
Data Mesh is based on four central concepts, the fourth of which is federated computational governance. In this blog, we’ll explore what that means...
Data Mesh is based on four central concepts, the third of which is self-service data infrastructure. In this blog, we’ll explore what that means...
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