Hadoop Big Data Support

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Document Type: 
Data Sheet
Author: 
Pegasystems Inc.
Topic: 
BPM
Architecture

Overview

Gain insights and take actions on Big Data, in real time

Key Challenge
Today’s businesses operate in a fiercely competitive world with explosive growth of data volume and complexity. There are not only ever-increasing customer interaction data from transactional systems, but also a dramatic increase of data from websites, social media, call detail records, and various unstructured sources. Businesses who are able to incorporate valuable customer insights by leveraging all data sources will gain significant competitive advantages over those who cannot.

The Solution
Hadoop and its ecosystem prove to be a great platform to store and process massive unstructured data sources. Pega supports Hadoop to enhance its industry leading predictive and adaptive analytics offering by:

  • Directly integrating with big data in HDFS and HBase.
  • Building predictive models on very large data sets using Hadoop’s MapReduce processing framework.
  • Combining data-driven recommendations from Hadoop with Pega’s adaptive and self-learning capabilities.