A funny thing happened on the way to modern, data-driven analytics: we ditched the GUI for ETL development. There are drawbacks to moving data using code instead of clicks, especially for organizations heavily invested in visual tools. But writing code has an upside as well.
In this presentation, we’ll explore the data engineering discipline, and how it compares to conventional ETL. Using Databricks and Snowflake together, we’ll look at classic batch and modern streaming use cases, and consider DataOps requirements around testing and delivery where code really shines. And we’ll do it all inside of an interactive notebook.
Stewart Bryson is the Owner and Co-founder of Red Pill Analytics, and has been designing and implementing BI systems since 1996. He is an Oracle ACE Director, is an internationally recognized writer and speaker in the Oracle Community, and co-host for the audio and video podcast See Data Differently. He founded Transcendent Data, Inc. in 2004 to build a consulting practice around his considerable knowledge of best-practices and Oracle BI and DW products. In 2008, he joined Rittman Mead Consulting as the US CEO, and later as the global Chief Innovation Officer. In 2014, along with Kevin McGinley, Stewart founded Red Pill Analytics with the desire to affect a paradigm shift in Oracle BI and DI delivery.