Data Warehousing means having thousands of ETL jobs

Data Warehousing means having thousands of ETL jobs

Narrator: Another absurdly tetric myth being pushed by a cross-section of the expansive, permissive and obtuse talking-head data-mesh massive is that data warehousing necessarily means that enterprises have to have thousands of complex, expensive and unmanageable ETL jobs in order to build, maintain and expand their data warehousing reach.

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The data warehouse is the repository for the post-transactional data

The data warehouse is the repository for the post-transactional data

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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Does your way of providing data have business value?

Does your way of providing data have business value?

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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Data warehousing stands in the way of progress

Data warehousing stands in the way of  progress

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

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

To begin at the beginning

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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Tea with The Data Contrarian: Afilonius Rex

Martyn Jones

10th December 2021

Martyn Jones is Chief Scientist and Information Architect at Cambriano Energy. For better or worse, he is known as the Big Data Contrarian. He is the author of the widely acclaimed eBook Laughing @ Big Data, available at amazon.com.

Tea with The Data Contrarian is a series of interviews around data and analytics.

Today, Martyn talks with the great Afilonius Rex on contemporary trends, fads, and fancies in data, analytics and more.

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Reality Check: Data Mesh and Data Warehousing  

To begin at the beginning

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.

Fast-forward to the future

Myth-busting: Data Mesh and Data Warehousing – Revisited

To begin at the beginning

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.

The data warehouse as a place to copy OLTP exhaust data to?

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Heaven help us! Have you seen the latest Virtual Data Warehouse bullshit?

Martyn Richard Jones

Bonn, Germany

27th June 2020

Heaven help us! Talk about taking a great idea and destroying its heart, spirit and soul.  

Again, and in data architecture and management terms, that’s what the virtual data warehouse blaggers are doing with data warehousing, one more time.  

These virtual data warehouse folk talk about it as if it were merely magic. No effort required.

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