Alternate Date June 13 - 10:00 a.m. BST
As more organizations are modernizing and adopting cloud data warehouses, a new range of data ingestion and integration use cases emerge. On-premises data warehouses are typically populated in a traditional extract, transform, and load (ETL) process, using batch extracts followed in lockstep by batch loads. However, cloud data warehouses are much more flexible and dynamic, with data consumers expecting to integrate a wide variety of data sources and data types, including streaming, “semi-batch,” and batch data—as well as structured, unstructured, and semistructured data.
In this webinar, we will explore differences between on-premises and cloud platforms for data warehousing that introduce best practices for data ingestion and integration for cloud data warehouses.
Attendees will learn about:
Date: May 30, 2019
Time: 9:00AM PT
Individual, Student, & Team memberships available.