So far in this book, we have been performing batch processing—that is, we have been provided with bounded raw data files and processed that data as a group. As we saw in Chapter 1, The Big Data Ecosystem, stream processing differs from batch processing in the fact that data is processed as and when individual units, or streams, of data arrive. We also saw in Chapter 1, The Big Data Ecosystem, how Apache Kafka, as a distributed streaming platform, allows us to move real-time data between systems and applications in a fault-tolerant and reliable manner via a logical streaming architecture comprising of the following components:
- Producers: Applications that generate and send messages
- Consumers: Applications that subscribe to and consume messages
- Topics: Streams of records belonging to a particular category and stored as a sequence of ordered...
