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383 topics · page 31 of 39

  1. 301

    Information Modelling

    Information Modelling is not a new term, but nerd data folks hardly get in touch with it as it’s one level above of creating any special solution. Let’s deco…

  2. 302

    Standardization vsTransformation

    These are one of the most confusing topics. We all mix-up data quality fixes and standardization of data for better processing with transforming data for bet…

  3. 303

    Semantic Interoperability

    Semantics are different for everyone. In an organization, each department has its own semantics, to view data. Same data can have different meanings for one…

  4. 304

    POC,Prototype,Pilot/ MVP,Testing, andProd

    Approaches play a vital role in the failure of many projects in the IT World. We all have heard about POC, Protype, Pilot, MVP, SIT, UAT, and Production impl…

  5. 305

    POC

    POC stands for Proof of Concept. POC normally follows Sales Context of the product. In POC, output is most important, not technology. In POC, the implementer…

  6. 306

    Prototype

    Protype is the next stage of POC. In POC, one has test that yes Idea is Feasible, and it will benefit business agenda. Now, in Prototyping, tools and technol…

  7. 307

    Pilot or MVP

    New name of Pilot is MVP 😊. MVP is the next stage of Prototyping where Tools and Technologies are tested, and end solution is tested by technical folks. Now…

  8. 308

    Productionized Solution

    In MVP stage where actual Tools and Technologies, and SIT, UAT, and PRODUCTION environments are implemented on a small scale. Once MVP is successful, the nex…

  9. 309

    CRUD and CRAP

    CRUD and CRAP functions are our daily used processes for data folks, but surely by name most are not aware of these words 😊. Let’s decode these….. As we hav…

  10. 310

    Accessibility and Visibility

    Accessibility and Visibility are often used interchangeably, especially in simple terms. However, in the world of data solutions, it's crucial to distinguish…

Cover of I Am Datapedia!

Learn free

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.