Machine and Sensor Data with Hadoop

Gain insight from your equipment with Apache Hadoop

Your machines know things. From connected cars, to equipment in the field, to machines on the assembly line floor—sensors stream low-cost, always-on data. Hadoop makes it easier for you to store and refine that data and identify meaningful patterns, providing you with the insight to make proactive business decisions using predictive analytics.

In this video, we show how Hadoop can be used to analyze heating, ventilation and air conditioning data to maintain ideal office temperatures and minimize expenses.

In this demo, learn how to:

  • Stream sensor data into HDFS with Flume
  • Import structured data into HDFS with Sqoop
  • Use HCatalog to build a relational view of the data
  • Use Hive and Pig scripts to refine the data
  • Import the data into Microsoft Excel with the ODBC connector
  • Visualize data with Powerview
Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.