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Maximizing and managing big data with SOA middleware
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Article
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. Read Now
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Article
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
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Article
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). Read Now
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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. Read Now
Editor's note
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.
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Article
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
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Article
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
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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
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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
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Article
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. 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.
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Article
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%. Read Now
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Article
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. Read Now
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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. Read Now
3Must-know big data terminology
If you are just getting started with managing big data, this glossary provides common terms you'll need to know.
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Definition
Scalability
It is the ability of a computer application or product (hardware or software) to continue to function well as it (or its context) is changed in size or volume in order to meet a user need. Read Now
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Definition
Big data
Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Read Now
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Definition
Big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data. Read Now
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Definition
Big Data as a Service
Big data as a service (BDaaS) is the delivery of statistical analysis tools or information by an outside provider that helps organizations understand and use insights gained from large information sets in order to gain a competitive advantage. Read Now
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Definition
Three Vs (volume, variety and velocity)
3Vs (volume, variety and velocity) are three defining properties of big data. Volume refers to the sheer amount of data, variety refers to the number of types of data and velocity refers to the speed of processing. Read Now
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Definition
Hadoop
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. Read Now
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Definition
NoSQL
NoSQL is an approach to database design that can accomodate a wide variety of data models, including key-value, document, columnar and graph formats. NoSQL, which stand for "not only SQL," is an alternative to traditional relational databases in which data is placed in tables and data schema is carefully designed before the database is built. Read Now
4What is your big data IQ?
How much do you really know about managing big data? Prove your knowledge with our short quiz!