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  1. Preface
  2. Part 1: Hadoop Integration
  3. Part 2: Databricks Integration
  4. Appendix A: Managing Distribution Packages
  5. Appendix B: Connections Reference

Integration with Other Informatica Products

Integration with Other Informatica Products

To expand functionality and to process data more efficiently, you can use Data Engineering Integration in conjunction with other Informatica products.
Data Engineering Integration integrates with the following Informatica products:
  • PowerExchange adapters. Connect to data sources through adapters.
  • Enterprise Data Catalog. Perform data lineage analysis for sources and targets.
  • Enterprise Data Preparation. Discover raw data and publish it in a lake as a Hive table.
  • Data Quality. Perform address validation and data discovery.
  • Data Replication. Replicate change data to a Hadoop Distributed File System (HDFS).
  • Data Transformation. Process complex file sources from the Hadoop environment.
  • Data Engineering Streaming. Stream data as messages, and process it as it becomes available.
  • Edge Data Streaming. Collect and ingest data in real time to a Kafka queue.
  • Dynamic Data Masking. Mask or prevent access to sensitive data.

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