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383 topics · page 26 of 39

  1. 251

    MPP(Massive Parallel Process)

    We all have heard about MPP (Massive Parallel Processing). In the current era, consumption and serving layer without MPP capability cannot survive. MPP is mo…

  2. 252

    Canned Data

    Canned Data is something which is readily available at one click. A dataset prepared based on business requirements i.e., if required in pre-aggregated forma…

  3. 253

    Canned Reports vs Adhoc Reports

    Canned Reports Just like Canned Data, Canned Reports has the same approach where static designed reports are built for non-tech savvy stakeholders, who just…

  4. 254

    Multidimensional eXpression(MDX)

    Before we understand MDX, we must first reassemble our memories with respect to OLTP and OLAP. We know what these are, both are explained as separate topics…

  5. 255

    Data Drift

    Data Drift concept is used in Data Science practice, and it is one of the most expected behaviors in every data modelling. One must have automated ways to ke…

  6. 256

    Concept Drift

    Concept Drift is used in Data Science practice, and it is mostly unexpected behavior in data. One must have automated ways to keep tracking and identifying C…

  7. 257

    Scope Creep

    Scope Creep is a known term among Project Management but is worth discussing it among data folk as scope creep can also impact data architecture and data mod…

  8. 258

    Data Discrepancies

    Data Discrepancies are confused with Data Errors which is not true. Data Errors are searched, identified, and fixed based on Data Discrepancies. ‘Dictionary:…

  9. 259

    Data Skew Issue

    Data Skew Issue is one of the main hidden culprits for query performance 😊. It is normally referred to as Skewed data distribution which is used in Data Sci…

  10. 260

    Data Coupling

    Coupling is a parameter dependency approach used cross software or cross systems. This approach is used when there are more than one software or system is in…

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.