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Maximizing and managing big data with SOA middleware
Introduction
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
3Trends-
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
4Definitions-
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.
5Quiz-
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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