Business intelligence | business intelligence

Research: Extraction, Transformation, and Load 

Background: As noted by Efraim (2015), at the heart of the technical side of the data warehousing process is extraction, transformation, and load (ETL). ETL technologies, which have existed for some time, are instrumental in the process and use of data warehouses. According to Efraim (2015), “The ETL process is an integral component in any data-centric project”

Reference: Sharda, R., Delen, Dursun, Turban, E., Aronson, J. E., Liang, T-P., & King, D. (2015). Business Intelligence and Analytics: Systems for Decision Support. 10th Edition. By PEARSON Education. Inc.

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ISBN-13: 978-0-13-305090-5

Summarize and describe what ETL (Extraction, Transformation, and Load) stands for. Solomon (2015) classified ETL technologies into four categories. Mention these four categories and describe them succinctly. Finally, why is the ETL process so important for data warehousing efforts? 

Your research paper should be at least 3 pages (800 words), double-spaced, have at least 4 APA references, and typed in an easy-to-read font in MS Word (other word processors are fine to use but save it in MS Word format). Your cover page should contain the following: Title, Student’s name, University’s name, Course name, Course number, Professor’s name, and Date.