We’ll dive deeper into this in the next articles.Ĭonclusion: I hope this tutorial was clear and helpful. You are now connected to the Sandbox and you can access the HDFS file system. Then, after loading, the page should look like this : It’s called the VirtualBox Splash Page, and it can be accessed on : We should be able to access a graphical view of the services available on a Hadoop cluster. If you are asked whether you’d like to permanently add 2222 to the list of known hosts, say Yes. Launch your terminal and access the Sandbox using SSH : There are many pre-configured users for the HortonWorks Sandbox, including :

We will be using the username: raj_ops and password raj_ops as it is pre-registered.

Once started, the Sandbox is accessible from your local computer, in SSH, on the Port 2222. The application is now ready to be used : The first boot takes a while, so time for a break!

Select the image of the Sandbox you just downloaded.

Go in “File -> Import a Virtual Machine”.

Once this is done (the download might take a long time) : The sandbox requires around 15 Go of space.

Choose the VirtualBox installation type.įill in the form and download the version 2.6.5 of the Sandbox. This Sandbox makes it easy to get started with Apache Hadoop, Apache Spark, Apache Hive, Apache HBase, Druid and Data Analytics Studio (DAS). Numerous web interfaces are also available.ĭownload the HDP Sandbox. Hortonworks offers a way to use Hadoop Tools connecting to a Virtual Machine in SSH for command lines interfaces. To configure Hadoop from scratch on a Linux VM, this tutorial might be useful: Sandbox also offers a data-in-motion framework for IoT solutions called Hortonworks Data Flow (HDF). The Sandbox comes packaged in a virtual environment that can run in the cloud or on your machine. The Sandbox by Hortonworks is a straightforward, pre-configured, learning environment that contains the latest developments from Apache Hadoop, specifically the Hortonworks Data Platform (HDP). Getting started with the VM Install and launch In the next 4 articles, we’ll launch Hadoop MapReduce jobs (WordCount on a large file) using the HortonWorks Sandbox.

Virtual 8x sandbox