Manage your HDFS data in Oracle with Talend

Apache HDFS (Hadoop Distributed File Systems) provides a software framework for distributed storage and processing of big data. In combination with tools such as MapReduce, Yarn, and other core modules, HDFS lets organizations build Apache Hadoop clusters of hundreds or thousands of nodes that can handle datasets of terabyte size. A robust ecosystem of other tools can take advantage of data stored in HDFS. Manage HDFS data in Oracle with Talend's suite of data integration tools.

Connecting to HDFS

To connect to HDFS, use the Component tab of the tHDFSExist component. Enter the Hadoop distribution and version, the HDFS directory, and name of the file you want to use.

Learn more about connecting to HDFS

More about integrating HDFS data

Talend has detailed documentation on how to ETL your HDFS data for a better view of the business.

Connecting to Oracle

Oracle provides a proprietary multi-model database management system commonly used for running online transaction processing, data warehousing and mixed database workloads.

Talend offers a native Oracle connector so you only have to set up your integration once, and any future management of the connection is made easy. Once you connect to your Oracle database, you can do the following actions on your tables:

  • Write, update, make changes or suppress entries in an Oracle database.
  • Write a file with columns based on the defined delimiter and the Oracle standards.
  • Check Oracle database rows against specific data quality patterns (regular expression) or data quality rules (business rules).
  • Execute a SQL query on a specified Oracle database.
  • Call an Oracle database stored procedure.

Work with your HDFS data

Computing data with Hadoop distributed file system Create a file in a defined directory, get it into and out of HDFS, store it to another local directory, and read it at the end of the Job. See how >

Get more from your HDFS data

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