Databricks Batch and Streaming

Databricks is a leading big data processing service available on Azure. One of the nicest features in Databricks is the ability to develop workloads that run in batch or streaming modes.

In this webinar, we’ll review the basics of a notebook running in batch mode. In this example, we’ll be focusing on Delta Tables for our sinks. You will learn the differences between batch and streaming and just how easy it is to convert a notebook to streaming mode. We’ll also review streaming limitations within Databricks. Finally, we will walk you through an example of how to develop a job that can be parameterized to run a notebook in both modes.

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