Table of Contents


  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Transformation in Streaming Mappings
  8. Window Transformation
  9. Appendix A: Connections
  10. Appendix B: Monitoring REST API Reference
  11. Appendix C: Sample Files

Streaming Mapping Example

Streaming Mapping Example

You run the IT department of a major bank that has millions of customers. You want to monitor network activity in real time. You need to collect network activity data from various sources such as firewalls or network devices to improve security and prevent attacks. The network activity data includes Denial of Service (DoS) attacks and failed login attempts made by customers. The network activity data is written to Kafka queues.
Create a Streaming mapping to read the network activity data and write the data to HDFS.
In a Hadoop environment, you can use the following objects in the Streaming mapping:
Kafka data object
The input file is a Kafka queue that contains the network activity data.
Create a Kafka data object. Configure a Kafka connection and specify the queue that contains the network activity data as a resource for the data object. Create a data object read operation and configure the properties. Drag the data object into the mapping as a source data object.
Add a Lookup transformation to get data from a particular customer ID. Add a Window transformation to accumulate the streamed data into data groups before processing the data.
HDFS complex file data object
Create a complex file data object. Configure an HDFS connection to write to an HDFS sequence file. Create the data object write operation and configure the properties. Drag the data object into the mapping as a target data object.
Link ports between mapping objects to create a flow of data.
The following image shows the sample mapping:
The mapping example shows a Kafka input, a Lookup transformation, a Window transformation, and a Kafka output.
When you run the mapping, the data is read from the Kafka queue and written to the HDFS sequence file.


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