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383 topics · page 19 of 39

  1. 181

    Sharding

    Sharding We know what Partitioning is. Sharding has similar features with some architectural differences. It also divides tables into multiple smaller datase…

  2. 182

    ACID

    Normally, ACID and Insert/Update/Delete are mixed, but they have different functions and at the same time work together. There are 4 traits of ACID i.e., ato…

  3. 183

    BaSE

    To start with, ACID and BaSE both are Data Consistency models which compete on a use case requirement basis. In the previous topic, we discussed ACID, let’s…

  4. 184

    DevOps(Development Operations)

    Starting with DevOps, we all know Waterfall and Agile methodologies. We won’t go into details of these methodologies but for audience comfort, DevOps is most…

  5. 185

    CI/CD

    You must be confused between DevOps and CI/ CD. ‘CI stands for Continuous Integration and CD stands for Continuous Delivery/ Deployment.’ We know, in develop…

  6. 186

    DevSecOps(Development Security Operations)

    DevSecOps is nothing less DevOps but with addition step of security. Due to the quick and fast deployment cycles, security has become an alarming factor in D…

  7. 187

    DataOps(Data Operations)

    DataOps follows the same principles just like DevOps/ DevSecOps but here it has few more elements related to Data domain. DataOps focuses on data related asp…

  8. 188

    Difference betweenDevOps and DataOps

    This is one of the most confusing topics now a days as data is the most useable element of organizations now a day. I won’t be going into details as we have…

  9. 189

    MLOps

    MLOps is also from the same family of DevOps, DevSecOps, DataOps, etc. Just like DataOps has a focus on data, MLOps focuses on Machine Learning Model’s end t…

  10. 190

    DLOps(Deep Learning Operations)

    DLOps is like MLOps and belongs to Data Science domain. Before we try to understand DLOps as compared to MLOps, one must understand the difference between Ma…

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.