“Right now, cloud migration makes up roughly 90% of our projects… If you’re a data warehouse practitioner, you need to be well-versed in big data and cloud best practices.” – Joe Caserta
New York, NY (PRWEB)
September 26, 2017
As more enterprise-level companies recognize the need to become analytics-driven, knowledge of agile data warehouse design, the Extract/Transfer/Load (ETL) process for data integration, and how both will remain relevant in the big data era is critical to a growing number of roles in both technology and business.
“Right now, cloud migration makes up roughly 90% of our projects,” says Joe Caserta, author of the continual bestseller, The Data Warehouse ETL Toolkit (Wiley), “If you’re a data warehouse practitioner, you need to be well-versed in big data and cloud best practices.”
Technologists aren’t the only professionals who need an understanding of dimensional modeling and ETL architecture in order to fulfill their responsibilities. “Particularly among data and analytics executives, I’m always amazed by how quickly conversations with people in non-technical roles turn technical,” Caserta continues.
From October 18th through October 21st, 2017, Caserta will host a series of training workshops on the concepts and practical applications of the technology that comprises the bedrock of data analytics.
Each day features a unique “theme,” with a lunchtime demonstration on some of the most cutting-edge software in the industry today. On Day One, Caserta teaches Agile Data Warehouse Design and Dimensional Modeling. Dimensional modeling is the proven technique for designing modern high-performance Business Intelligence/Data Analytics systems. Agile dimensional modeling is dimensional modeling…