Joe Caserta

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]

Joe Caserta
Joe Caserta at MIT CDOIQ Data Symposium, July 18, 2018
Born
New York, NY, USA
NationalityAmerican
EducationColumbia University
EmployerCaserta
TitleFounder and President

Joe Caserta was born and raised in New York.[5] He studied database application development and design at Columbia University.[5] He is a data science expert,[6] keynote speaker,[7] and panelist.[8]

Working with Ralph Kimball, he co-authored The Data Warehouse ETL Toolkit, (Wiley, 2004)[9] which is used as a textbook for courses teaching ETL processes in data warehousing.[10]

Caserta is the founder and host of the Big Data Warehousing Meetup group in New York, which has more than 5,000 members.[11]

References
  1. Concepts, Joe Caserta, Caserta (2013-04-30). "Data Scientists to Wipe out Business Analysts". Wired. ISSN 1059-1028. Retrieved 2018-12-04.
  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. Success, Insights (2018-03-21). "Joe Caserta: A Bold and Innovative Entrepreneur". Insights success. Retrieved 2018-12-04.
  6. "Data science expert interview: Joe Caserta". IBM Big Data & Analytics Hub. Retrieved 2018-12-04.
  7. SiliconANGLE theCUBE, Joe Caserta, Caserta | MIT CDOIQ 2018, retrieved 2018-12-04
  8. Realty, Digital (2013-07-09), Mobility, The Cloud and Big Data Session - MarketplaceLIVE 2013, retrieved 2018-12-04
  9. "The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data". Wiley.com. Retrieved 2018-12-04.
  10. "The Data Warehouse ETL Toolkit". www.protechtraining.com. Retrieved 2018-12-04.
  11. "Big Data Warehousing".
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