Learning Apache Spark 2

Architecture of Spark Streaming

Now that we have seen Spark Streaming in action, let's take a step back and try to understand what a stream processing engine should do. On a high level, a distributed stream processing engine uses the following execution model:

1. Receive data from other data sources: This could be web server logs, credit card transactions, Twitter sources, other sensor devices, and so on. Some of the most popular ingestion systems include Apache Kafka, Amazon Kinesis, and so on.
2. Apply business logic: Once the data is received, any distributed stream processing engine will apply the business rules (in a distributed manner). This can include filtering logs, aggregating information, checking for potential fraud, and identifying potential ...