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Joe Caserta is an American information specialist[1] and author.[2] He is best known as the founder and president of data and analytics consulting, architecture, and implementation firm[3] Caserta founded in 2001.[4] Management consulting firm McKinsey & Company acquired Caserta on June 1, 2022.[5]

Joe Caserta was born and raised in New York.[6] He studied database application development and design at Columbia University.[6] He is a data science expert,[7] keynote speaker,[8] and panelist.[9]

Working with Ralph Kimball, he co-authored The Data Warehouse ETL Toolkit, (Wiley, 2004)[10] which is used as a textbook for courses teaching ETL processes in data warehousing.[11]

Caserta is the founder and host of the Big Data Warehousing Meetup group in New York, which has more than 5,000 members.[12]

References

  1. ^ Concepts, Joe Caserta, Caserta (2013-04-30). "Data Scientists to Wipe out Business Analysts". Wired. ISSN 1059-1028. Retrieved 2018-12-04.{{cite magazine}}: CS1 maint: multiple names: authors list (link)
  2. ^ "2018 – Oregon State University". hedw.org. Retrieved 2018-12-04.
  3. ^ Heizenberg, Jorgen (June 18, 2018). "Market Guide for Data and Analytics Service Providers". www.gartner.com. Retrieved 2018-12-04.
  4. ^ "Caserta Concepts: Number 740 on the 2015 Inc. 5000". Inc.com. 2015. Retrieved 2018-12-04.
  5. ^ Hampton, Jaime (2022-06-01). "McKinsey Acquires Data Engineering Pioneer Caserta". Datanami. Retrieved 2022-07-09.
  6. ^ a b Success, Insights (2018-03-21). "Joe Caserta: A Bold and Innovative Entrepreneur". Insights success. Retrieved 2018-12-04.
  7. ^ "Data science expert interview: Joe Caserta". IBM Big Data & Analytics Hub. Retrieved 2018-12-04.
  8. ^ SiliconANGLE theCUBE, Joe Caserta, Caserta | MIT CDOIQ 2018, retrieved 2018-12-04
  9. ^ Realty, Digital (2013-07-09), Mobility, The Cloud and Big Data Session - MarketplaceLIVE 2013, retrieved 2018-12-04
  10. ^ "The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data". Wiley.com. Retrieved 2018-12-04.
  11. ^ "The Data Warehouse ETL Toolkit". www.protechtraining.com. Retrieved 2018-12-04.
  12. ^ "Big Data Warehousing".

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