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383 topics · page 25 of 39

  1. 241

    DLM(Data Lifecycle Management)

    Data Lifecycle Management (DLM) is mostly confused with Data Supply Chain which is not 100% correct. Data Lifecycle Management is about the process from wher…

  2. 242

    Data Usability

    Data Usability is the key to being a Data Driven Organization. To better understand, let’s refer to the difference between Useful and Usable. Useful means e.…

  3. 243

    Data Sharing

    As the name says all, Data Sharing is about making data accessible to all the relevant stakeholders. ‘Data Sharing is about eliminating Dark Data.’ Data Shar…

  4. 244

    Data Aggregation

    Data Aggregation is the most used term in our daily lives whether it’s in office or in home, we use it everywhere. ‘Data Aggregation is about converting deta…

  5. 245

    Data Profiling

    Data Profiling is used by Data Modelers, Data Engineers, Data Governance and Data Quality team as their daily routine. Data Profile is done using many method…

  6. 246

    Data Standardization

    Data Standardization can be imposed at a data level or at a data store level. Data Standardization means converting data into such a format that it’s accessi…

  7. 247

    Geocoding

    Geocoding has become of the most demanding data element in current era where data is generated everywhere and by everyone. ‘Geocoding refers to the geographi…

  8. 248

    Data Matching and Linking

    Data Matching and Linking is for multiple purposes across systems. Data Matching and Linking is about matching and linking datasets across the systems to fin…

  9. 249

    Data Serving or Serving Layer

    Data Serving is also known as the Serving Layer and it has been there since its inception but as technologies have matured, many new channels have been intro…

  10. 250

    Consumption Layer

    Consumption layer is confused with Serving Layer due to its name. Folks relates it that the layer which is used by Consumers to extract data. The Layer which…

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.