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383 topics · page 36 of 39

  1. 351

    Data Product

    Before we explore what constitutes a Data Product (DP), it is important to establish the foundational context within which these products exist. Most enterpr…

  2. 352

    The Good, The Bad, and The Ugly

    In the modern data landscape, few topics spark more debate than the question: “What is a Data Product?” Across conferences, boardrooms, and industry discussi…

  3. 353

    Data As A Product

    The transformation of data into a strategic asset has led to the evolution of modern data products into what is now recognized as Data-As-a-Product (DAaP). U…

  4. 354

    Data Product Owner

    A Data Product Owner (DPO) is the person responsible for overseeing the development, maintenance, and evolution of a data product. This role is essential in…

  5. 355

    Data Product Ownership

    Data Product Ownership refers to the responsibility of managing and overseeing a data product from creation through to ongoing improvements. A data product o…

  6. 356

    The Evolution ofData Products and it’s Ecosystem

    In today’s data-driven world, the creation, management, and delivery of data have evolved beyond pipelines and reports. At the heart of this transformation l…

  7. 357

    Data Platform Gravity

    A Unified Approach to Data Ecosystem Management The concept of Data Platform Gravity revolves around a holistic framework where every aspect of data handling…

  8. 358

    Textual orContextual ETL

    The worlds of structured data and textual data are as far apart as the ocean is from the desert. These worlds are extremely different. But there is great val…

  9. 359

    Graph

    A Graph is a way to show connections between things. It is made up of dots, called vertices (or nodes), and lines, called edges (or links), that connect the…

  10. 360

    Graph Theory

    Graph theory is a mathematical framework that is widely applied to solve real-world problems involving interconnected data. It’s used in various fields such…

Cover of I Am Datapedia!

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Learn from I Am Datapedia!

Every topic of the book, readable below, with a search box to find the one you need — 383 of them with a self-check at the end.

Self-checks on 383 topicsThe book on Amazon ↗

The source: I Am Datapedia! — Series of ‘I Am Data!’ — co-authored with Bill Inmon & Marco Wobben. By Mustafa Qizilbash.