Near Realtime Data Pipelines with Databricks

Everyone wants reliable data available for analytics in Near Realtime. Come and learn about how Databricks reduces time to build new streaming ingest/curation pipelines, simplifies the operation of the pipelines, and reduces cost in the cloud. Session will touch on Databricks, Delta Lake, Spark Structured Streaming and Delta Live tables. Come with your Databricks and Cloud Big Data ecosystem questions!

We'll meet virtually on Google meet.

Agenda (all times are Central time UTC-6):
5:30 - Introduction
5:40 - Presentation
6:30 - Q&A

About the speaker:
Scott Crawford has been working in Cloud and Big Data for over 11 years. Currently a Solution Architect at Databricks, Scott previously worked for Google, Microsoft, and Cloudera. He lives in St. Louis and currently supports large banks on the east coast. Previously Scott was a real-time embedded software engineer at Boeing, and holds BS degrees in both Electrical and Computer Engineering.