Integrate Hadoop Distributed File System (HDFS) Using FME

Hadoop has become one of the most widely used systems for organizing and analyzing big data and is used by major companies like Yahoo! and Facebook. With FME, you can efficiently optimize and manipulate your HDFS data for further processing.

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Process Your HDFS Data With FME

The Apache Hadoop ecosystem is a robust, flexible, and low-cost way to organize big data and can be used alongside a relational database model. It uses a data storage system called the Hadoop Distributed File System (HDFS) to help you organize your data the way you want it. This data can be stored over multiple server systems, which reduces the risk of issues related to hardware failure. This sophisticated management system is an incredible big data helper!

Connect to Your HDFS With FME

HDFS is where data is stored in the Hadoop ecosystem and can be easily accessed in FME. Use FME to upload, download, list, or delete your Hadoop file system data files like CSV or JSON with the HDFSConnector. Put data in, or take data out for use in other applications. With FME, you can parse your data to simplify processing tasks and keep your data structured in your own customized way.

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Be In Control of Your Data

Hadoop lets you process your data quickly and continue to add more data without limitations. With FME you can organize and optimize your data in an intuitive drag-and-drop interface. Use FME to enhance your data without coding! Automate your workflows with FME Server to increase efficiency and consistency throughout your big data sets.
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Help Us Help You

Why does FME support the HDFS format? Because it’s what our users wanted! We listen to our customers and their suggestions to make sure that FME is always meeting their needs. With the data world forever changing, we want to make sure that we provide the best product to help you keep up with that change.
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