Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Bolo.

Table of Contents

Search

  1. Introducing Mass Ingestion
  2. Getting Started with Mass Ingestion
  3. Connectors and Connections
  4. Mass Ingestion Applications
  5. Mass Ingestion Databases
  6. Mass Ingestion Files
  7. Mass Ingestion Streaming
  8. Monitoring Mass Ingestion Jobs
  9. Asset Management
  10. Troubleshooting

Mass Ingestion

Mass Ingestion

Kafka sources

Kafka sources

Use a Kafka source to read messages from a Kafka topic. To create a Kafka source connection, use the Kafka connection type.
Kafka is a publish-subscribe messaging system. It is an open-source distributed streaming platform that persists the streaming data in a Kafka topic. Any topic can then be read by any number of systems that need data in real-time. Kafka can serve as an interim staging area for streaming data that can be consumed by different downstream consumer applications can consume.
Kafka runs as a cluster comprised of one or more servers each of which is called a broker. Kafka brokers stream data in the form of messages. These messages are published to a topic. When you create a Kafka source, you create a Kafka consumer to read messages from a Kafka topic.
In a
streaming ingestion
task, you can use a Kafka source to subscribe to a stream of incoming data. When you configure a Kafka source to read from a Kafka topic, you can specify the topic name or use a Java supported regular expression to subscribe to all topics that match a specified pattern.
You can use the same Kafka connection to create an Amazon Managed Streaming for Apache Kafka (Amazon MSK) or a Confluent Kafka source connection. You can then use the Amazon MSK source or the Confluent Kafka source in a
streaming ingestion
task to read messages from an Apache Kafka or a Confluent Kafka topic.

0 COMMENTS

We’d like to hear from you!