JBDOpen Access

Journal on Big Data

Publication Frequency:Continuously

  • Online


  • on board


About the Journal

Journal on Big Data is launched in a new area when the engineering features of big data are setting off upsurges of explorations in algorithms, raising challenges on big data, and industrial development integration; and novel paradigms in this cross–disciplinary field need to be constructed by translating complex innovative ideas from various fields.

Indexing and Abstracting

Starting from July 2023, Journal on Big Data will transition to a continuous publication model, accepted articles will be promptly published online upon completion of the peer review and production processes.

  • Open Access


    An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing

    Journal on Big Data, Vol.6, pp. 1-20, 2024, DOI:10.32604/jbd.2023.046223
    Abstract The extraction, transformation, and loading (ETL) process is a crucial and intricate area of study that lies deep within the broad field of data warehousing. This specific, yet crucial, aspect of data management fills the knowledge gap between unprocessed data and useful insights. Starting with basic information unique to this complex field, this study thoroughly examines the many issues that practitioners encounter. These issues include the complexities of ETL procedures, the rigorous pursuit of data quality, and the increasing amounts and variety of data sources present in the modern data environment. The study examines ETL… More >

Share Link