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383 topics · page 13 of 39

  1. 121

    Data Tokenization

    Data Tokenization is mostly mixed up with Data Masking but there are major maintenance differences. ‘Data Masking with Mappability’ We know how data masking…

  2. 122

    Data Redaction

    Data Redaction is confused with data masking, neither it doesn’t work like SMD, but it works pretty much like DDM. We know how data masking works i.e., it ch…

  3. 123

    Data Pipelines

    Data Pipelines is as simple as traveling of data from one point to another but at the same time, the magnitude and importance of this term is as critical as,…

  4. 124

    Data Transformation(ETL, ELT and ECL)

    Data Transformation is the bread and butter of ETL developers and data engineers. Data Transformation is the starting point of any KPI, one needs to pull and…

  5. 125

    Reverse ETL

    Business Analytics has been the most demanding cycle in the current era. Business Analytics supports DSS (Decision Support Systems) and the technologies to s…

  6. 126

    Data Conversion

    Data Conversion is mostly confused with Data Transformation. In Data Conversion, data is not changed whereas in Data Transformation, data can be changed base…

  7. 127

    Data Parsing orFormatting

    Data Parsing and Formatting sometime works interchangeably and mixed with Data Conversion and Data Transformation which is not correct. Parsing term comes fr…

  8. 128

    CDC and Real-Time

    CDC and Real-Time, a couple of terms which people are confused with and assumes both are same but in the real world, both are different topics. CDC: Full abb…

  9. 129

    ESP(Event-Stream Processing)

    ESP (Event-Stream Processing) is a term used along with CDC and Real-Time processing. As we touched based on Real-Time processing in another topic, ESP is ex…

  10. 130

    Data Security andData Privacy

    Security and privacy are often mentioned in the same breath, but they serve distinct, and complementary, purposes. Both are essential pillars of responsible…

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.