Data Engineering is undergoing a huge evolution requiring faster and more reliable data pipelines. Apache Spark and Python are core foundational components of this new architecture enabling data engineers to quickly develop these pipelines. They also introduce challenges when moving to production.

Come join us as we:

• Dive into operationalizing Data Engineering pipelines using "Spark as a - Service" to make these tasks more efficient and economical.
• Look at how Airflow manages these jobs
• Explore ways to monitor and optimize data engineering in production.

Ask questions and learn. We will also have a raffle of Cloudera swag.