Knowledge Hub

Learn free, at your own pace.

Self-paced learning from the trainer’s own published work, with topic self-checks — alongside, not instead of, our expert-led trainings.

Topics

383 topics · page 23 of 39

  1. 221

    Hub-and-Spoke andPoint-to-Point

    Point-to-Point model (PP) connects all applications with each other e.g., if there are 5 applications then there will be many connections as depicted in belo…

  2. 222

    Critical Data Elements (CDE)

    This is a principle rather a process to manipulate data, but it holds a very significant value in terms of managing and securing data. Most of us mix Critica…

  3. 223

    Data Ethics

    This is also a very confusing term in Data domain, a lot of people are not sure how to assure that everyone follows Ethics in their day-to-day activities whi…

  4. 224

    Data Anomalies

    Data Anomalies are about any kind of unusual behavior which can degrade the quality of data. Please note, data quality is not only about dirty data but also…

  5. 225

    Data Surfing

    Data Surfing is always confused with Data Analysis. There is a very thin line between Data Analysts and Data Surfers. Data Surfing is normally done by non-te…

  6. 226

    Semantic Layer

    “Semantic” is an ancient Greek word: σημαντικός sēmantikós, "significant" is the study of reference, meaning, or truth. In Data World, Semantic layer is buil…

  7. 227

    Augmented Analytics

    By now, we all know what Semantic Layer is, IT defines data elements for business ease. Then there came the era for Business folks defines data elements them…

  8. 228

    Data Island

    Data Island has kind of disappeared as integration technologies have matured. ‘Data Island is a datastore(s) which is/ are not accessible.’ In previous eras…

  9. 229

    Data Silos

    Data Silos is always confused with Data Island. Data Islands are those datastores which are not accessible from external world may be due technology barriers…

  10. 230

    Data Synthetic or Mockup Data

    There are many ways to achieve data privacy like data generalization, data swapping, data masking, data encryption etc., all these techniques change original…

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.