Using Structured Streaming with Spark

If you are more the kind of developer that loves to code and you are a fan of Spark, maybe you want to have a look at Structured Streaming with Spark. This might be an interesting alternative for you.

Spark clusters are a widely used engine to implement streaming analytics using one of the available programming languages, such as Python or Scala. With the massive scalability of Spark clusters in Azure services such as Synapse or Databricks, you will be able to implement an environment that can grow with your needs and deliver the necessary performance.

Next to performance, there is the extensibility of Spark clusters that is a factor to consider. You will be able to combine streaming algorithms with the capabilities of Spark and programming languages such as Python (PySpark), Scala, or R.

Take Kafka as input for your streaming analysis, for example. Kafka is an event streaming platform that is quite widely used. ASA does not yet offer...