Business Applications of Hadoop
Enterprises have data streaming in from all directions. The challenge is to take that unstructured data, synthesize it, quantify it and increase its business value by moving from historical analysis to predictive analysis. The following use cases demonstrate how Apache Hadoop and the Hortonworks Data Platform can help enterprises turn their data fumes into business fuel. If you are looking for the value of big data it is best start at the root of it all… the types of big data found in Hadoop.
Social Media Data: Win customers’ hearts.
|Your customers are talking. With Hadoop, you can mine Twitter, Facebook and other social media conversations for sentiment data about you and your competition, and use it to make targeted, real-time, decisions that increase market share.This demo takes a Hadoop user through the steps for extracting sentiment data from Twitter.Find out more »||
Web Clickstream Data: Show them the way.
|Your home page looks great. But how do you move customers on to bigger things—like submitting a form or completing a purchase? Get more granular with customer segmentation. Hadoop makes it easier to analyze, visualize and ultimately change how visitors behave on your website.This demo shows how clickstream data can be used to reduce bounce and improve conversion.Find out more »||
Server Log Data: Fortify security and compliance.
|Security breaches happen. And when they do, your server logs may be your best line of defense. Hadoop takes server-log analysis to the next level by speeding and improving security forensics and providing a low cost platform to show compliance.In this deep-dive demo, we identify and respond to a security breach using Hadoop.Find out more »||
Machine and Sensor Data: Gain insight from your equipment.
|Your machines know things. From out in the field to the assembly line floor—machines 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. In this demo, we use HVAC data to maintain optimal building temperatures.Find out more »||
Geolocation Data: Profit from predictive analytics.
|Where is everyone? Geolocation data is plentiful, and that’s part of the challenge. The costs to store and process voluminous amounts of data often outweigh the benefits. Hadoop helps reduce data storage costs while providing value driven intelligence from asset tracking to predicting behavior to enable optimization. This demo analyzes geolocation data to reduce fuel costs and improve safety for a trucking company.Find out more »||