Three big data solutions for 2014


sascom cover featuring GiltInterest in "data" is at an all-time high. The popularity of search terms like "big data," "Hadoop" and the "Internet of Things" spiked dramatically in the past year. The fact is, organizations are more interested in the potential of big data platforms and data management solutions than ever before.

That’s why the First Quarter issue of sascom® magazine is dedicated to solutions for your big data challenges:

If you’re one of the many organizations considering open-source storage, check out this column that outlines five areas to work on to get Hadoop enterprise ready.

Cloud services are changing the reality of business technology. Read Anne Buff's explanation of cloud services and what should be considered before deploying analytics in the cloud.

Data governance
With big data comes data governance. Jill Dyché and Kimberly Nevala can help you avoid the five most commonly made mistakes.

And more
You also don’t want to miss our look at one possible big data future – total immersion in a big data world; and our cover story on flash sale phenom Gilt.


About Author

Anne-Lindsay Beall

Senior Editor

Anne-Lindsay Beall is a writer and editor for SAS. Since joining the company in 2000, Anne-Lindsay has edited print publications, Web sites, customer success stories, blogs and digital publications. She has a bachelor’s degree in English from the University of North Carolina at Chapel Hill and a master’s degree in English from North Carolina State University. You can find her on LinkedIn at:


  1. Hadoop was originally developed to address the big data needs of Web and media companies, but today it’s being used around the world to address a wider set of data needs, big and small, in practically every industry. When the Apache Hadoop project was initially released, it had two primary components: 1. A storage component called HDFS (Hadoop Distributed File System) that works on low-cost, commodity hardware.
    2. A resource management and processing component called MapReduce.
    Hadoop software revenue was $209.2 million or 11 percent of the total big data software market in 2012. Apache Hadoop being open source, the revenue growth of the Hadoop software market, compared to the hardware or the services markets, is substantially smaller. The 2012 estimation was that the comprehensive Hadoop market (combined hardware, software, & services) bagged 23 percent of the big data market in 2012, which was projected to grow to 31 percent in 2013.
    The IDC estimates for Hadoop-as-a-service market in 2012 was about $130 million, projected to grow by 145 percent to $318 million in 2013.
    It is difficult to break down the above figures among the different layers of the big data services architecture, but the success of the market in general will largely depend on business demands, in-premises talent pool, and the technology strengths and weaknesses of service-partner ecosystem.

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