Apache Kafka has become an instrumental part of the big data stack at many organizations, particularly those looking to harness fast-moving data. But Kafka doesn’t run on Hadoop, which is becoming the de-facto standard for big data processing.
How does Kafka store data in HDFS?
- Create a new pipeline.
- Configure the File Directory origin to read files from a directory.
- Set Data Format as JSON and JSON content as Multiple JSON objects.
- Use Kafka Producer processor to produce data into Kafka. …
- Produce the data under topic sensor_data.
Can Kafka replace Hadoop?
Not a replacement for existing databases like MySQL, MongoDB, Elasticsearch or Hadoop. Other databases and Kafka complement each other; the right solution has to be selected for a problem; often purpose-built materialized views are created and updated in real time from the central event-based infrastructure.
