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  • Data Engineering Integration 10.2.1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Hadoop Integration
  3. Before You Begin
  4. Amazon EMR Integration Tasks
  5. Azure HDInsight Integration Tasks
  6. Cloudera CDH Integration Tasks
  7. Hortonworks HDP Integration Tasks
  8. MapR Integration Tasks
  9. Appendix A: Connections

Hadoop Integration Guide

Hadoop Integration Guide

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Hadoop Environment

Hadoop Environment

Big Data Management can connect to clusters that run different Hadoop distributions. Hadoop is an open-source software framework that enables distributed processing of large data sets across clusters of machines. You might also need to use third-party software clients to set up and manage your Hadoop cluster.
Big Data Management can connect to the supported data source in the Hadoop environment, such as HDFS, HBase, or Hive, and push job processing to the Hadoop cluster. To enable high performance access to files across the cluster, you can connect to an HDFS source. You can also connect to a Hive source, which is a data warehouse that connects to HDFS.
It can also connect to NoSQL databases such as HBase, which is a database comprising key-value pairs on Hadoop that performs operations in real-time. The Data Integration Service pushes mapping and profiling jobs to the Blaze, Spark, or Hive engine in the Hadoop environment.
Big Data Management supports more than one version of some Hadoop distributions. By default, the cluster configuration wizard populates the latest supported version.
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