Martyn Richard Jones
Saintes, 20th March 2023
Narrator: As much as I love the work of some celebrated buffoons, fools and jesters with imagination, there are some areas that they should not be allowed to invade without adequate supervision being in place.
Dud: Pete,why do people talk such complete and utter unsubstantiated poll tax?
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Narrator: Okay, where to begin? First, let us start with some real-life user stories. And for those who are unfamiliar with user stories, they are one of the most effective ways that business has of telling IT people what they want. Think of them as micro-stories that convey a problem, facets of the problem and potential ways to address those problems. Such as, “as a consumer of wine I would like to be able to add wine to fruit, ice and lemonade in order to create a refreshing summer drink”.
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Narrator: Let us start with a softball question, the kind even your granny could knock out of the park.
How does business describe the value it gets from being able to access and analyse fresh quality data in order to decide what is strategically, tactically and operationally preferable in the future of the business?
What do Pete and Dud think about that?
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Data Trailblazers: 2022 Vision
Martyn Richard Jones
2nd January 2022
Martyn Jones is Chief Scientist and Information Architect at Cambriano Energy, and is the author of Laughing @ Big Data he manages The Big Data Contrarian group on LinkedIn and blogs at goodstrat.com
So, the Christmas season is almost upon us, and it’s time once again to publish my brand-spanking new top twelve data trend predictions for the new year, 2022.
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A few days ago, I published a blog piece that contained the following paragraphs:
I am quite a fan of many aspects that sit under the Data Mesh umbrella. However, when it comes to a proper fact-based understanding and analysis of the history, place and architecture (business, data and technical) of Data Warehousing the leading exponents of data mesh have it woefully wrong.
Therefore, the purpose of this blog article is to set the record straight.
However, it seems to be that denial and specious arguments, are the preferred weapons of choice, over simply and honestly engaging in a professional discourse about these concerns.
I am quite a fan of many aspects that sit under the Data Mesh umbrella. However, when it comes to a proper fact-based understanding and analysis of the history, place and architecture (business, data and technical) of Data Warehousing, the leading exponents of data mesh have it woefully wrong.
Therefore, the purpose of this blog article is to set the record straight.