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383 topics · page 10 of 39

  1. 91

    CaaS(Container as A Service)

    We have discussed differences between On-Premises and Cloud then IaaS where only Hardware is rented by Cloud providers. Next stage of this paradigm change is…

  2. 92

    PaaS(Platform as A Service)

    As we move from IaaS to CaaS to PaaS, it becomes confusing. In IaaS and CaaS, we established that Infrastructure/ Servers and Storage is provided by Cloud pr…

  3. 93

    FaaS (Function as A Service)

    We have discussed IaaS and CaaS where only Infrastructure and Container level resources are rented on Cloud. Next stage of this paradigm change is to deploy…

  4. 94

    SaaS(Software as A Service)

    As we move from IaaS and PaaS to SaaS, it becomes very confusing segregating PaaS and SaaS, but please hold on to your horses’ 😊 we are going to nail it dow…

  5. 95

    DaaS (Data as A Service)

    Data As a Service (DaaS) is very near to SaaS service in Cloud. We know what SaaS is, it’s about pre-built or OOTB solutions available in the Cloud. Solution…

  6. 96

    AAaaS(Advance Analytics as A Service)

    Please note, AAaaS has nothing to do with Cloud, it can be on On-Premises or On-Cloud. AAaaS is an environment setup for Data Scientists to play around with…

  7. 97

    Granularity

    I am sure most of us know this term but not sure how accurate you are in terms of its importance. ‘The granularity of data means, the levels of data breakdow…

  8. 98

    The Chasm and Fan Trap

    As the name says itself, these are traps. If we have Chasm or Fan Traps, then we have a serious problem as these can impact the whole data model. ‘Chasm and…

  9. 99

    Data Cardinality

    This is a normal term for database modelers, but business users are not very familiar with it. Understand this and it will solve your 90% data problems. Don’…

  10. 100

    Cartesian Data

    Another term, if data modelers are not aware and if data model doesn’t take care via proper Data Cardinality check and balance, data analysts are hit by Chas…

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.