Processing Real-time streams in Databricks – Part 2
In this section we go Azure Databricks and create the cluster and notebook to ingest the data in real-time and process and visualize the stream
In this section we go Azure Databricks and create the cluster and notebook to ingest the data in real-time and process and visualize the stream
Databricks is becoming the new normal in data processing technologies in cloud, both Azure and AWS. This is step by step guide to get started on Realtime (streaming) analytics using spark streaming on Databricks
Distributed computing technology enables the compute load to be spread, or distributed, across multiple nodes (computers) connected via a network.