Chapter 10: Designing and Developing a Stream Processing Solution

Welcome to the next chapter in the data transformation series. This chapter deals with stream processing solutions, also known as real-time processing systems. Similar to batch processing, stream processing is another important segment of data pipelines. This is also a very important chapter for your certification.

This chapter will focus on introducing the concepts and technologies involved in building a stream processing system. You will be learning about technologies such as Azure Stream Analytics (ASA), Azure Event Hubs, and Spark (from a streaming perspective). You will learn how to build end-to-end streaming solutions using these technologies. Additionally, you will learn about important streaming concepts such as checkpointing, windowed aggregates, replaying older stream data, handling drift, and stream management concepts such as distributing streams across partitions, scaling resources, handling errors, and...