Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Manage Big Data Relationships

Manage Big Data Relationships

You can manage big data relationships by integrating data from different sources and indexing and linking the data in a Hadoop environment. Use Big Data Management to integrate data from different sources. Then use the MDM Big Data Relationship Manager to index and link the data in a Hadoop environment.
MDM Big Data Relationship Manager indexes and links the data based on the indexing and matching rules. You can configure rules based on which to link the input records. MDM Big Data Relationship Manager uses the rules to match the input records and then group all the matched records. MDM Big Data Relationship Manager links all the matched records and creates a cluster for each group of the matched records. You can load the indexed and matched record into a repository.
For more information, see the
MDM Big Data Relationship Management User Guide
.


Updated October 23, 2019