The first part of this post can be found at Processing Real-Time Streams in Databricks – Part 1.

This is the continuation of Part 1 — we won’t repeat the architecture and setup. In this section we go into Azure Databricks and create the cluster and notebook to ingest data in real-time, …

Databricks is becoming the new normal in data processing technologies in cloud, both Azure and AWS. This is a step-by-step guide to get started on real-time (streaming) analytics using Spark Streaming on Databricks.

Architecture

The demo was built to show the speed layer (hot path) of a typical …