Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The rapid migration to the cloud further extends this data preparation nightmare given the varying shapes and sizes of the data stored in the cloud.
Join David Menninger, SVP & Research Director at Ventana Research, and Jie Wu, Product Marketing Director at Trifacta for a live discussion on how to select a cloud data preparation solution to accelerate your analytics journey in the cloud. In this latest Data Science Central webinar, you will learn:
Challenges with data prep in the cloud
Why ETL tools alone are not sufficient to deliver well-prepared data in the cloud
Key considerations when selecting a data prep tool for cloud data lakes and cloud data warehouses
Jie Wu, Product Marketing Director - Trifacta
David Menninger, SVP & Research Director - Ventana Research
Rafael Knuth, Contributing Editor - Data Science Central