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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. Read Now
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.
1Areas 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. Read Now
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. Read Now
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. Read Now
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. Read Now
2What 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.
3What is your big data IQ?
How much do you really know about managing big data? Prove your knowledge with our short quiz!