Maximizing and managing big data with SOA middleware

Last updated:October 2013


Managing big data is going to become an increasingly important task for technology professionals. Research shows a growing number of organizations are tackling big data head-on. The notorious "three V's" -- volume, variety and velocity -- can cause trouble for even those with years of experience. One of the best ways to beat big data obstacles is to be well informed.

This guide brings together a range of articles that offer expert advice on managing big data, large data-set trends and key terms anyone preparing to work with big data will need to be familiar with.

Are you ready to manage big data? When you've finished reading this guide, see how much information you've absorbed by taking our short quiz.

1Strategies and techniques-

Tools and best practices for managing big data

Managing big data is no small task. Fortunately, there are tools and best practices that can be followed in order to make handling large data sets easier. Read on for advice to successfully take care of vast quantities of information.


Managing big data: How to keep a plan from falling to pieces

With big data being such an important topic, enterprises are looking at a variety of ways to integrate Hadoop, map reduce and other big data technologies into the enterprise. But both a rushed and reluctant approach can cause problems. This article will show you how to make your organization's big data strategy work. Continue Reading


Big data management 101: Handling the four V's

If you are about to engage in the world of big data, or are hiring a specialist to consult on your big data needs, keep in mind the four 'V's of big data: volume, velocity, variety and veracity. Continue Reading


Big data and Amazon Web Services: What you should know

From learning about big data, to taking advantage of free big data technologies, here are three things you didn't know about Amazon Web Services (AWS). Continue Reading


Using Hadoop to handle big data

By using Hadoop's big data processing features, people are learning new ways to mine data and discover new relationships in their systems. Continue Reading

2Problem solving-

Areas that struggle with large volume sets

Big data is notorious for giving technology professionals headaches. There are ways to finagle the technology. This section features articles that highlight specific examples on how large forms of data can be tamed.


How to best use SOA for big data management

Big data and cloud data management can be problematic. Learn how SOA can manage data in several ways. Continue Reading


Pushing big data to new limits

Content management systems that need to sift through huge amounts of data are big data problems in need of a solution. Fortunately, projects like Hadoop and MapReduce are coming to the rescue. Continue Reading


Solving scalability issues with big data

The highly centralized enterprise data center is becoming a thing of the past, as organizations must embrace a more distributed model to deal with everything from content management to big data. Here we examine how technologies like Hadoop and NoSQL fit into modern distributed architectures in a way that solves scalability and performance problems. Continue Reading


Reducing complexity with patterns for big data design

Design patterns have caught on as a way to simplify development of software applications. Increasingly, that means using them for big data design. Continue Reading


Solving CMS woes with big-data solutions

With the proliferation of mobile devices and embedded devices, all acquiring and delivering data to various sources and repositories, organizations that manage content are being overwhelmed. How can organizations not only aggregate this data, but filter it and discover what data is meaningful and what is not? It's a big-data problem that requires a big-data solution. Continue Reading


What lies ahead for big data

There is a lot in store for big data. From more organizations planning to take on big data to how large volume sets affect architects, there is a lot of information to be privy to. Peruse this section to see what experts are forecasting for the future of working with large volumes of data.


Big data initiatives on the upswing

More than 40% of organizations involved in big data initiatives expect to see an ROI of more than 25%. Continue Reading


Big data trends in 2013

Big data trends in 2013 will include rises in cloud storage, organization of unstructured data and the importance of real-time analytics. Continue Reading


Implications of working with big data

As more companies turn to 'big data' to gain new business value, the role of enterprise architects shows signs of changing. Continue Reading


Must-know big data terminology

If you are just getting started with managing big data, this glossary provides common terms you'll need to know.


What is your big data IQ?

How much do you really know about managing big data? Prove your knowledge with our short quiz!

Big data 101 quiz

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