Cloudera Tutorials

Optimize your time with detailed tutorials that clearly explain the best way to deploy, use, and manage Cloudera products. Login or register below to access all Cloudera tutorials.

Cloudera named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems Get the report

Ready to Get Started?




As of January 31, 2021, this tutorial references legacy products that no longer represent Cloudera’s current product offerings.

Please visit recommended tutorials:



Hortonworks Connected Data Platform can be used to acquire, clean and visualize data from heating, ventilation, and air conditioning (HVAC) machine systems to maintain optimal office building temperatures and minimize expenses.

Big Data Technologies used to develop the Application:

Goals and Objectives

  • Learn to write a shell script to automate development environment setup
  • Learn to build a NiFi flow to acquire HVAC machine sensor data
  • Learn to write Hive scripts to clean the HVAC machine sensor data and prepare it for visualization
  • Learn to visualize HVAC machine sensor data in Zeppelin



The tutorial series consists of the following tutorial modules:

1. Application Development Concepts: Focus on HVAC fundamentals, common sensors used in HVAC Systems and ways to analyze data from these sensors to understand the status of the HVAC Systems.

2. Setting up the Development Environment: Any Configurations and/or software services that may need to be installed prior to building the data pipeline and visualization notebook.

3. Acquiring HVAC Sensor Data: Create a part of the data pipeline using Apache NiFi to ingest, process and store 1 month of Historical HVAC Sensor Data into HDFS.

4. Cleaning Raw HVAC Data: Create the next portion of the data pipeline using Apache Hive to upload the data into Hive tables, so the data can be cleaned and queried to capture valuable insight about the status of HVAC Systems regulating temperature in buildings across various countries.

5. Visualizing Sensor Data Related To HVAC Machine Systems: Perform data analysis on HVAC sensor data to find the HVAC Building Temperature Characteristics Per Country - keep count of HOT, COLD, NORMAL ranges per country, Extreme Temperature in Buildings Having HVAC Products - building that are experiencing extreme temperature whether it be HOT or COLD even though they have HVAC products.

Your form submission has failed.

This may have been caused by one of the following:

  • Your request timed out
  • A plugin/browser extension blocked the submission. If you have an ad blocking plugin please disable it and close this message to reload the page.