When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This course uses a case study driven approach to explore the fundamentals of Spark Programming with Databricks, including Spark architecture, the DataFrame API, Structured Streaming, and query...
Read More“Joel is a great teacher and I enjoyed his jokes and can-do attitude. He was very helpful in finding and answering questions and had lots of insight showing his understanding of databricks topics. He also had extra materials prepared that helped further my understanding.”
This course uses a case study driven approach to explore the fundamentals of Spark Programming with Databricks, including Spark architecture, the DataFrame API, Structured Streaming, and query optimization. You will start by visualizing and applying Spark architecture concepts in example scenarios. Then, you will explore and preprocess datasets by applying a variety of DataFrame transformations and actions. After ingesting data from various file formats, you will apply these preprocessing steps and write them to Delta tables. The case study then expands to stream from Delta in an analytics use case that demonstrates core Structured Streaming concepts. Lastly, you will explore the Spark UI and how query optimization, partitioning, and caching affect performance.
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View Details Register by September 6, 2019