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
The key steps organizations can take to cross that hurdle/chasm and move ahead of the roadblock and prepare the foundation which will enable them to move along the curve
This article includes the kind of tools and methods that go along with maturity steps. I also want to introduce the concept of Chasm. Its essentially a bump or a gap in the journey of analytics maturity which takes a little more than usual effort to cross.