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Author
Andy Mott, MBA
EMEA Head of Partner Solutions Architecture and Data Mesh Lead, Starburst
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.
- Data Mesh For Dummies, by Colleen Tartow, Ph.D., Andy Mott, MBA, Adrian Estala
- Data Products For Dummies, by Vishal Singh, Ryo Komatsuzaki, Andy Mott, MBA
Showing 12 of 20 results
Data virtualization will become a core component of data lakehouses
January 18, 2024
Data lakehouses have emerged in the past five years as a hybrid middle ground between data lakes and data warehouses. For decades, data warehouses...
2024 Data and AI Executive Survey and the European Union AI Act
January 4, 2024
The annual Data and AI Leadership Executive Survey is here and it offers important insights into the evolving roles and challenges of Chief Data...
5 trends you should know
December 26, 2023
As we enter 2024, what’s certain is more of everything AI. However, before we forget about data and just “do” AI, whatever that means...
Do you have a TCO problem or a vendor lock-in problem?
December 19, 2023
With every budgetary statement you get for running your cloud data warehouse, the natural reaction is to shake your head at how broken your...
Artificial intelligence life cycle
November 2, 2023
Organizations today are using artificial intelligence and machine learning to answer complex business questions. They often follow an artificial intelligence development life cycle to...
Data-driven innovation: If you want to innovate with data, this is what you should do!
September 14, 2023
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.
Why data products are critical to environmental, social, and governance (ESG)
May 10, 2023
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…
How fast access to data and quality ML code can enable competitive differentiation and innovation
February 16, 2023
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....
Build great data products and reduce cognitive load
January 10, 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...
Implications of Data Mesh: Redefining the Role of the CDO
January 3, 2023
In 2019, Zhamak Dehghani defined a new approach to manage data based on decentralized ownership of data. As a refresher, Data Mesh is based...
What Are The Different Types Of Data Products
December 16, 2022
As we’ve gone from Data Mesh theory to practice, organizations have been shifting their focus towards the central tenet of Data Mesh — building...
Clarifying Data Mesh Roles And Responsibilities
November 2, 2022
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...
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