The new development reality

Deliver innovative applications — rapidly and reliably


Comparing IBM WebSphere Application Server v8.5 - Liberty Profile with Apache Tomcat 7

This white paper aims to assist in making an informed decision when choosing between IBM WebSphere Application Server v8.5 - Liberty Profile and Apache Tomcat as an application serving environment. While both servers provide a specification-compliant servlet container, there are also significant differences that this paper will describe.


IBM WebSphere Application Server (WAS) V8.5 – Liberty Profile

The IBM WAS Liberty Profile facilitates the development and test of web, mobile and OSGi apps. Launch only the features your application needs dynamically with the fastest possible start-up; update the server without stops and restarts; restart in less than five seconds. Accelerate your development projects - Test-Drive the Liberty Profile.

IBM Worklight V5.0 Developer Edition

IBM Worklight provides an open, comprehensive and advanced mobile application platform for smartphones and tablets, helping organizations of all sizes to efficiently develop, connect, run and manage HTML5, hybrid and native applications. Create rich, cross-platform mobile apps with simplicity - Download Worklight.

IBM WebSphere MQ Telemetry

IBM WebSphere MQ Telemetry enables devices (e.g. Remote Sensors, Smart Meters, RFID tags) to be rapidly and easily connected with existing applications and services. Take advantage of WebSphere MQ Telemetry's lightweight implementation of the publish and subscribe messaging model, to connect mobile devices on the edge. Learn more here.

Private Cloud for Dummies

Many companies want to be able to have pools of computing resources based on a self-service model where the company owns and operates those resources.  With a private cloud model, these resources are standardized and automated.  Private Cloud for Dummies, IBM Limited Edition, helps put the private cloud model of computing into perspective for both business and technical leaders. Download you free copy today!


Big Data Architecture at LinkedIn

In this interview at QCon London, LinkedIn's Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they're moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.


Big Data Architectures at Facebook

Ashish Thusoo presents the data scalability issues at Facebook and the data architecture evolution from EDW to Hadoop to Puma.


Future of Data Architecture: NoSQL, Big Data, Linked Data and the Cloud

In this panel, Siddharth Anand, Dwight Merriman, Ashish Thusoo, Damien Katz, Tom Wilkie and Akmal Chaudhri (moderator) answer questions on NoSQL from the audience.


Good Relationships

With Spring Data, the ever popular Spring Framework has cultivated a new patch of ground, bringing Big Data and NOSQL technology like Neo4j to enterprise developers. This guide introduces you to Spring Data Neo4j, using the fast, powerful and scalable graph database Neo4j to enjoy the benefits of having good relationships in your data.


NetApp Case Study

Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.


Eli Collins on Hadoop

Eli Collins discusses Cloudera's CDH4 release, which tasks are well suited for Hadoop, Hadoop and MapReduce vs SQL, the state of Hadoop, and much more.


eBook: Understanding Big Data

By the time you are done reading this book, you'll have a good handle on the big data opportunity that lies ahead, a better understanding on the requirements that ensures you have the right big data platform (as opposed to just technology), and have a strong foundational knowledge as to the business opportunities that lie ahead with big data and some of the technologies available.


Analyzing social media and structured data with InfoSphere BigInsights

This article teaches you the basics of using BigSheets to analyze social media and structured data collected through sample applications provided with BigInsights. You'll learn how to model this data in BigSheets, manipulate this data using built-in macros and functions, create charts to visualize your work, and export the results of your analysis in one of several popular output formats.


Get started with Hadoop-based data analytics on IBM SmartCloud Enterprise

The combination of cloud and Hadoop make it possible to handle large amounts of structured and unstructured data. In this article, the author explains how to get started using Hadoop (in the form of InfoSphere® BigInsights Basic) on IBM® SmartCloud Enterprise. Learn how to set up a three-node cluster and verify your cluster is working.


Query social media and structured data with InfoSphere BigInsights

If you're looking to get off to a quick start with big data projects involving IBM® InfoSphere® BigInsights™, learning the basics of how to query, manipulate, and analyze your data is important. This article takes you through simple query examples that show how you can read, write, filter, and refine social media and structured data. You'll even see how business analysts can visualize query results using a spreadsheet-style tool.


Starting your education in big data

Learn about current free, online courses that are available at Follow the suggested path to get started and grow your knowledge on big data, and get ready to implement it to meet your own business needs.


IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution

In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphere™ Streams (V2), a new paradigm and key component of IBM Big Data platform.