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{:new_window: target="_blank"} {:shortdesc: .shortdesc} {:codeblock: .codeblock} {:screen: .screen} {:pre: .pre}
{: #getting-started-tut}
{{site.data.keyword.iae_full_notm}} provides a flexible framework to develop and deploy analytics applications in Apache Hadoop and Apache Spark. It allows you to create and manage clusters using the {{site.data.keyword.Bluemix_short}} interface or using the Cloud Foundry CLI and REST APIs.
- Get a quick overview of {{site.data.keyword.iae_full_notm}} in this short video.
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Watch how to get started using {{site.data.keyword.iae_full_notm}}.
In this video you will learn how to provision an {{site.data.keyword.iae_full_notm}} cluster from IBM Cloud, find out about options to manage the cluster, and see how to connect {{site.data.keyword.DSX_short}} to {{site.data.keyword.iae_full_notm}} to analyze data.
For details about the supported plans and on how to provision and configure your cluster, see the {{site.data.keyword.iae_full_notm}} documentation.
- Watch how to provision an {{site.data.keyword.iae_full_notm}} service instance through {{site.data.keyword.DSX_short}}.
- Watch a demo and run through the tutorial using sample code and data. Copy or download this notebook from the {{site.data.keyword.DSX_short}} community to try it for yourself!
- Learn how to use spark-submit to execute a Python script on an {{site.data.keyword.iae_full_notm}} cluster.
- Learn how to programmatically use {{site.data.keyword.iae_full_notm}} through this tutorial. Get access to sample scripts to start operationalizing your first applications.
- Get answers to some frequently asked questions about using {{site.data.keyword.iae_full_notm}}.
Now that you have provisioned a service instance and have created a cluster, you can start running jobs and managing your cluster:
- Run Hadoop MapReduce jobs.
- Run Spark Interactive jobs.
- Run Spark Batch jobs.
- Manage your cluster by using the CLI for various operations.