Tag: Data Warehousing

  • Solucionando el Dilema del Almacén de Datos

    Solucionando el Dilema del Almacén de Datos

    Martyn Rhisiart Jones

    Libros de Martyn Rhisiart Jones: https://www.amazon.es/stores/author/B086K5B97Y

    ¿Qué decir?

    Estaba leyendo un artículo escrito por Jeff Wilts y recomendado por Bill Inmon. Llegué a esta afirmación: «Teradata es un almacén de datos empresarial con todas las funciones». Para mí, la cosa fue aún más cuesta abajo a partir de ahí.

    Pero esto fue el golpe de gracia: «Databricks es una plataforma de datos unificada que puede comportarse como un almacén de datos».

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  • DATA WORLD: Friends! Romans! Countrymen! Big Data is not Data Warehousing – 2026/01/29

    DATA WORLD: Friends! Romans! Countrymen! Big Data is not Data Warehousing – 2026/01/29

    29th January 2026

    Hold this thought: To paraphrase the great Bob Hoffman, just when you think that if the Big Data babblers were to generate one more ounce of bull**** the entire f****** solar system would explode, what do they do? Exceed expectations.

    I am a mild mannered person. However, one thing that irks me is hearing variations on certain themes. These themes include phrases like “Data Warehousing is Big Data.” Another is “Big data is in many ways an evolution of data warehousing.” Lastly, some say “with Big Data you no longer need a Data Warehouse.”

    Big Data is not Data Warehousing. It is not the evolution of Data Warehousing. It is also not a sensible and coherent alternative to Data Warehousing. No matter what certain vendors will put in their marketing brochures or stick up their noses.

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  • Navigating Data Warehousing’s Professional Crisis – 2026

    Navigating Data Warehousing’s Professional Crisis – 2026

    Martyn Rhisiart Jones

    Read my absolutely fabulous books: http://www.goodstrat.com/books
     
    A quiet disquiet has settled over the once-confident corridors of enterprise data. What was, not so long ago, regarded as a rigorous and rather specialised craft, data warehousing and business intelligence, now frequently presents itself in a more casual, even improvisational guise. A growing number of senior executives, technology directors and indeed practitioners themselves confess to a mounting discomfort with the quality, and at times the sheer quantity, of self-proclaimed experts who populate the field.
     

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  • The Evolution of Data Warehousing: Principles for 2026

    The Evolution of Data Warehousing: Principles for 2026

    Introduction

    The data warehouse has undergone a profound transformation over the past decade. Expensive, rigid, on-premises systems were once built for batch reporting. These systems have now evolved into cloud-native, highly scalable platforms. They are designed to meet the demands of today’s data-driven organisations.

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  • Data used to mean data warehouses?

    Data used to mean data warehouses?

    Data used to mean data warehouses?

    “I was a fool and what i’ve seen has made me two fools.”

    Rafael Alberti, Spanish poet

    Friends, Europeans, and fellow citizens, it’s time that we all spoke out against wrongdoing, criminality, and impunity. It’s time we took a stand against injustice wherever we find it. And it’s time to say that enough is enough.

    Dud: Pete, did data exist before data warehousing?

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  • Is Data Warehousing Really Outdated?

    Is Data Warehousing Really Outdated?

    Data warehousing is out of date?

    Martyn Jones, Manhattan, 29th September 2024

    Narrator: According to some data-mesh folk, data warehousing is “a data management construct that dates back to the eighties,” I have a problem with that. It’s as if that was somehow a bad thing. Is it? For me, that’s quite a weak argument that, in a way, treats people as if they were idiots.

    It is like someone asking Newton, “So, Sir Isaac, you don’t still believe in that old gravity nonsense, do you?”

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  • Testing the Data Warehouse

    Testing the Data Warehouse

    Image1Martyn Richard Jones

    Dusseldorf, August 2006

    Data Warehousing provides possibly one of the best opportunities for IT organizations to deliver a valuable business solution in order to address a set of business needs; requirements that go well beyond the area of day to day operational support, and traditional applications (web enabled or not), and when Data Warehousing is done the right way, and for the right reasons, its payback to all of its stakeholders can be positively significant. (more…)

  • 12 Amazing Big Data Success Stories for 2016

    12 Amazing Big Data Success Stories for 2016

    If this piece tickles your fancy, then please consider joining The Big Data Contrarians on LinkedIn:

    https://www.linkedin.com/groups/8338976

    Every year I ask myself the same question. Will there be any tangible, coherent and verifiable Big Data success stories in the coming year? Every year I come up with nothing. Nothing at all. “Sorry, no rooms at the Big Data Success Inn, as we are closed for vacations.”

    However, this year things are different. More positive, more alive and more fantastic. (more…)