Table of Contents

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  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. Window Transformation
  8. Appendix A: Connections
  9. Appendix B: Monitoring REST API Reference
  10. Appendix C: Sample Files

Application Services

Application Services

Data Engineering Streaming uses application services in the Informatica domain to process data. The application services depend on the task you perform.
Data Engineering Streaming uses the following application services when you create and run streaming mappings:
Data Integration Service
In a Hadoop environment, the Data Integration Service processes mappings on the Spark engine. The Data Integration Service retrieves metadata from the Model repository when you run a Developer tool mapping. The Developer tool connects to the Data Integration Service to run mappings.
In a Databricks environment, when you run a job on the Databricks Spark engine, the Data Integration Service pushes the processing to the Databricks cluster, and the Databricks Spark engine runs the job.
Metadata Access Service
The Metadata Access Service is a user-managed service that provides metadata from a Hadoop cluster to the Developer tool at design time. HBase, HDFS, Hive, and MapR-DB connections use the Metadata Access Service when you import an object from a Hadoop cluster. Create and configure a Metadata Access Service before you create HBase, HDFS, Hive, MapR Streams, and MapR-DB connections.
Model Repository Service
The Model Repository Service manages the Model repository. The Model Repository Service connects to the Model repository when you run a mapping.
Analyst Service
The Analyst Service runs the Analyst tool in the Informatica domain. The Analyst Service manages the connections between service components and the users that have access to the Analyst tool.