Stream Processing with Apache Spark Structured Streaming and Azure Databricks
- 6 courses
- 15 hours
- Skill IQ
Streaming data is used to make decisions and take actions in real time. The processing of streaming data must support these virtually immediate results, by the stateful analysis of multiple events over a period within one or multiple data streams. It must also support the joining of streaming data with data at rest in databases. The purpose of this skill is to teach you how to process streaming data using Apache Spark with Azure Databricks.
Courses in this path
Understand the processing model for streaming data, as implemented in Apache Spark Structured Streaming.
Modeling Streaming Data for Processing with Apache Spark Structured Streaming
- by Eugene Meidinger
- 1h 19m
Build a streaming data processing pipeline using Apache Spark Structured Streaming.
Exploring the Apache Spark Structured Streaming API for Processing Streaming Data
- by Janani Ravi
- 2h 48m
Apply your streaming data knowledge inside of Azure Databricks.