Etl Processing

ETL Processing is a data integration methodology that systematically extracts data from source systems, transforms it into a consistent format through cleansing, enrichment, and aggregation, and loads it into a target repository for analytical or operational use.

161

Publications

7.9K

Citations

564

Authors

215

Institutions

Publications per year

2017–2026

58

Variants

Extract Transform Load Processing

Authors

564

  1. AS
    Alkis Simitsis

    Hewlett-Packard (United States), United States

    14 publications · 1.4K citations

    14

    h-index

  2. PV
    Panos Vassiliadis

    University of Ioannina, Greece

    10 publications · 1.4K citations

    10

    h-index

  3. TB
    Torben Bach Pedersen

    Aalborg University, Denmark

    4 publications · 154 citations

    4

    h-index

  4. MB
    Mahfoud Bala

    University of Blida, Algeria

    3 publications · 65 citations

    3

    h-index

  5. MC
    Malú Castellanos

    Hewlett-Packard (United States), United States

    3 publications · 247 citations

    3

    h-index

1–5 of 564

Venues

  1. Data & Knowledge Engineering

    DKE · 4 publications · 115 citations

    4

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 72 citations

    3

    h-index

  3. International Journal of Data Warehousing and Mining

    IJDWM · 3 publications · 365 citations

    3

    h-index

  4. Information Systems

    3 publications · 155 citations

    3

    h-index

  5. PLoS ONE

    2 publications · 154 citations

    2

    h-index

1–5