Cloudera DataFlow (Ambari) Cloudera DataFlow (Ambari)—formerly Hortonworks DataFlow (HDF)—is a scalable, real-time streaming analytics platform that ingests, curates and analyzes data for key insights and immediate actionable intelligence. Download Cloudera DataFlow (Ambari) Legacy HDF releases. Cloudera Hadoop Demo VM on VirtualBox – Installation ( All thanks to Thomas Lockney ( for writing this down and making it so beautiful to follow In some cases, authors quickly do things. Download the Cloudera Quickstart VM from the Cloudera website. Import the OVA packaged VM to your virtualization environment (Virtualbox and VMware are covered in this guide). It is strongly recommended to upgrade to Java 1.8 on the single-node cluster provided by the VM. Jul 24, 2020 Cloudera QuickStart VM includes everything that you would need for using CDH, Impala, Cloudera Search, and Cloudera Manager. The Cloudera QuickStart VM uses a package-based install that allows you to work with or without the Cloudera Manager.

1. Cloudera Virtualbox Vm

Cloudera Data Science Workbench

Cloudera Data Science Workbench enables fast, easy, and secure self-service data science for the enterprise.

Hortonworks Sandbox

Hortonworks Sandbox can help you get started learning, developing, testing and trying out new features on HDP and HDF.

Cloudera Manager

A unified interface to manage your enterprise data hub. Express and Enterprise editions available.

Hortonworks Data Platform (HDP)

Hortonworks Data Platform (HDP) helps enterprises gain insights from structured and unstructured data. It is an open source framework for distributed storage and processing of large, multi-source data sets.

Cloudera CDH

Cloudera's open source software distribution including Apache Hadoop and additional key open source projects

Cloudera DataFlow (Ambari)

Cloudera DataFlow (Ambari)—formerly Hortonworks DataFlow (HDF)—is a scalable, real-time streaming analytics platform that ingests, curates and analyzes data for key insights and immediate actionable intelligence.

Cloudera Workload XM

Workload XM proactively assists, de-risks, and advises Cloudera Platform users at every phase of your data intensive application lifecycle

DataPlane

A unified platform for a hybrid data environment.

Databricks community edition is an excellent environment for practicing PySpark related assignments. However, if you are not satisfied with its speed or the default cluster and need to practice Hadoop commands, then you can set up your own PySpark Jupyter Notebook environment within Cloudera QuickStart VM as outlined below. I use MAC environment for my work, but Windows is an equally viable option.

Cloudera in VirtualBox

• Download Oracle VirtualBox and follow the installation instructions for your platform. This will be the container in which Cloudera QuickStart VM can run.
• Download Cloudera Quickstarts and follow the installation instructions for your platform.
• Import Cloudera .ovf file into VirtualBox.

Anaconda in Cloudera Quickstart

• Bring up Oracle VM VirtualBox Manager application.
• Select the Cloudera Quickstart VM and click on the Start button.
• Within Cloudera Quickstart VM, using a browser download Anaconda 64bit for Python 2.x into ~/Downloads.
• Open a terminal window, and install Anaconda using:

• Accept all prompts.
• Make a copy of .bashrc file.

• Using an editor, add this export command to .bashrc to associate jupyter notebook with pyspark command.

Cloudera Virtualbox Vm

• Source .bashrc or close/open Terminal.
• In the Terminal, To start using Jupyter notebook with Spark, type: