Tag: oracle

  • TECH HOUR: Warehousing Your Data: A No-Nonsense Guide to the Right DBMS in 2026

    TECH HOUR: Warehousing Your Data: A No-Nonsense Guide to the Right DBMS in 2026

    Warehousing Your Data: A No-Nonsense Guide to the Right DBMS in 2026

    Listen, you glorious data martyrs. You noble sufferers who have spent far too many evenings coaxing historical rows into slowly changing dimension tables while the rest of the office has gone home to sensible lives. You know the drill. The star schema looks perfect on paper, the fact table is append-only and cooperative, but then someone asks for last year’s corrected customer segments. Suddenly, your backfill script is performing open-heart surgery on a live production warehouse.

    In 2026, vendors are still shouting about infinite scalability and “agentic AI” (whatever that means this week), but what actually matters is a system that lets you shove yesterday’s data into those dimension objects without it feeling like a hostage negotiation.

    I have been asked to examine the most appropriate database management systems for effective data warehousing, with particular attention to the pain of backfilling dimensional tables. The brief is clear: functionality, reliability, scalability, extensibility, maintainability, performance, cost, ease of use, and a total lack of corporate nonsense.

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  • 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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  • 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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  • Origins of Relational Databases: Transaction Processing Misconceptions

    Origins of Relational Databases: Transaction Processing Misconceptions

    Were relational database management systems first used for transaction processing?

    Martyn Richard Jones, Madrid, 3rd October 2023

    Narrator: Relational database theory is over fifty years old. Relational database technologies go back more than four decades. Some claim that relational databases were first used for online transaction processing applications. Say what?

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