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383 topics · page 15 of 39

  1. 141

    Data Subsetting

    Data Subsetting is as simple as taking a small piece of data, with referential integrity in place, for some activity. For example, there is a requirement to…

  2. 142

    Data or Web Scraping

    This term is normally known by the Security department and is tagged with Hackers. ‘Data Scraping is also known as Web Scraping.’ The minor difference betwee…

  3. 143

    Database and OLTP

    In the current era there are many data stores like Database, Data Warehouse, Data Marts, Big Data, Data Lake, Data Vault, Business Vault, SQL, and NoSQL etc.…

  4. 144

    Data Warehouse and Data Marts

    The idea of a Data Warehouse emerged when organizations realized that transactional systems (OLTP), while excellent for recording day-to-day operations, were…

  5. 145

    OLTP 3NF vsData Warehouse 3NF

    This topic is very close to many experienced data modelers because it is surprisingly misunderstood. The confusion usually begins with one assumption: if bot…

  6. 146

    Immutable Data Warehouse

    Immutable Data Warehouse has come from immutable data. Data folks are aware of it but don’t use it more often. ‘Immutable means not changeable.’ Now, the que…

  7. 147

    Logical Data Warehouse

    A Logical Data Warehouse (LDW) is not a new storage technology but an architectural approach to delivering a unified data warehouse view without physically c…

  8. 148

    Big Data

    The term Big Data emerged in the early 2000s as enterprises began facing unprecedented growth in the amount, speed, and diversity of information being genera…

  9. 149

    Data Lake

    As organizations matured in their use of Data Warehouses, a new challenge began to surface. Warehouses were excellent for structured, relational data such as…

  10. 150

    Big Data vs Data Lake

    Over the past decade, the terms Big Data and Data Lake have often been used interchangeably, leading to significant confusion in both technical and business…

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.

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The source: I Am Datapedia! — Series of ‘I Am Data!’ — co-authored with Bill Inmon & Marco Wobben. By Mustafa Qizilbash.