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Information, tips, tricks and sample code for Big Data Warehousing in an autonomous, cloud-driven world

Free new tutorial: Quickly uploading files with Big Data Manager in Big Data Cloud Service

Jean-Pierre Dijcks
Master Product Manager

Sometimes the simplest tasks make life (too) hard. Consider simple things like uploading some new data sets into your Hadoop cluster in the cloud and then getting to work on the thing you really need to do: analyzing that data.

This new free tutorial shows you how to easily and quickly do the grunt work with Big Data Manager in Big Data Cloud Service (learn more here) enabling you to worry about analytics, not moving files.

Big Data Manager

The approach taken here is to take a file that resides on your desktop, and drag and drop that into HDFS on Oracle Big Data Cloud Service... as easy as that, and you are now off doing analytics by right clicking and adding the data into a Zeppelin Notebook. Within the notebook, you get to see how Big Data Manager enables you to quickly generate a Hive schema definition from the data set and then start to do some analytics. Mechanics made easy!

You can, and always should look at leveraging Object Storage as you entry point for data, as discussed in this other Big Data Manager How To article:  See How Easily You Can Copy Data Between Object Store and HDFS.

For more advanced analytics, have a look at Oracle wide ranging set of cloud services or open source tools like R, and the high performance version of R: Oracle R Advanced Analytics for Hadoop.

 

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Comments ( 1 )
  • laxmi Tuesday, January 23, 2018
    It's really useful. thanks for sharing
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