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

Kudu Data Objects

Kudu Data Objects

A Kudu data object is a physical data object that represents Kudu as a target. After you configure a Messaging connection, create a data object write operation based on the Kudu data object.
Kudu is a columnar storage manager developed for the Apache Hadoop platform. You can use Kudu to store data in tables. Kudu has a simple data model, where the Kudu table has a primary key made up of one or more columns, each with a defined type. You can use Kudu for fast data search, updates and inserts and to perform real-time analytics on fast data.
A Kudu data object is the representation of data that is based on a Kudu object. Configure the write operation properties to determine how the Data Integration Service must write data to the Kudu. Add the write operation as a Write transformation in a mapping.
You can use Kudu objects as targets in mappings. You can validate and run mappings on the Spark engine in the Hadoop environment.


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