Big Data and Analytics

Master the four dimensions of big data: Volume, Velocity, Variety, and Veracity

Contribute to big data and analytics open source projects. Now available on IBM developerWorks Open.

Learn from our experts

Social data analytics

Collect and analyze social data without writing a single line of code

Capture and analyze social data without ever writing a single line of code. Use the Node-RED workflow editor in IBM Bluemix to capture a Twitter feed and then build an HDFS file from that data. Then, use the IBM Analytics for Hadoop service in IBM Bluemix to analyze that data and produce summary charts.

Analytics in the cloud

Analytics for Hadoop on Bluemix

Easily deploy and play with an Apache Hadoop instance that runs in the cloud in minutes. Power your latest mobile and web applications with IBM's Hadoop offering, IBM InfoSphere BigInsights, and with the IBM Analytics for Hadoop Bluemix service.

Sentiment analysis

Perform sentiment analysis in a big data environment

Sentiment analysis can be performed against data that is gathered from disparate sources (tweets, RSS feeds, and mobile apps). This data can be aggregated, transformed, or reformatted and then stored in a Hadoop Distributed File System (HDFS).


Use the IBM z13 SIMD unit and the IBM z/OS XL C/C++ compiler to add parallelism to your C/C++ programs

The IBM z13 hardware provides a new SIMD unit. Learn how to use the IBM z/OS XL C/C++ language to take advantage of the new processor and exploit the enhanced parallelism it offers.

Predictive analytics

Develop a predictive analytics model

Gain a richer understanding of the analytics services in dashDB while exploring a Kaggle data mining competition.

Text analytics

Perform text analytics with Bluemix analytics services

Perform text analytics using the Analytics for Hadoop service and dashDB service on IBM Bluemix. Use R in dashDB to plot charts with the results.