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383 topics · page 17 of 39

  1. 161

    Data Swamp

    Data Swamp is a term famous as nightmare for CDO. We all are aware of Data Lake or many other datastores where structure, semi and unstructured data is store…

  2. 162

    HTAP

    HTAP stands for Hybrid Transactional/ Analytical Processing. It is a new architecture proposed by Garner in 2014. In previous topics, we have established tha…

  3. 163

    Data Room

    Data Rooms or Datastore are both the same entity. Data Rooms are normally used for due diligence of confidential documents like handling Business Mergers or…

  4. 164

    Data Locality

    As per the name depiction, Data Locality looks like knowing the location of the data; it is partially relevant. Traditionally, to use data for analysis, at t…

  5. 165

    Object, File and Block Storages

    When we say Data is the most relevant demanding term in the current era then the question comes where to store it. There are 3 types of storage at the hardwa…

  6. 166

    Hadoop Architecture

    Hadoop and its relationship with Big Data. The Big Data ecosystem has many components like NoSQL databases, In-Memory process, MPP, 3 Vs etc. but Hadoop is t…

  7. 167

    Hadoop, HDFS and Hive

    Obvious question, difference between Hadoop, HDFS and Hive? Hadoop is an Open-Source Framework to store structured, semi/unstructured data. Default block siz…

  8. 168

    Data Sprawl

    It refers to the staggering amount and variety of data produced by businesses every day. This is largely due to the variety of enterprise software, mobile ap…

  9. 169

    Dark Data and Dormant Data

    Dormant Data and Dark Data are mostly confused with each other. Dark Data ‘Data that is not utilized is Dark Data.’ Dark Data is data that is not in use due…

  10. 170

    Data Detritus

    As we discussed in topic i.e., Dark Data, that it is utmost important for a CDO (Chief Data Officer) to minimize Dark Data as much as possible, in the organi…

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.