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Big data environments bring a mix of new technologies into organizations, including Hadoop, MapReduce, NoSQL databases and associated tools. And harnessing those technologies to create an effective big data management architecture can be a challenging proposition for IT teams. In this chapter of our e-book on managing and using pools of big data, readers will learn about the available technology options and get detailed advice on how to devise, implement and maintain a big data management strategy that enables a company to get the most out of its assembled information. Access >>>
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Organizations increasingly collect Web server logs, social media data, information from sensors and other forms of unstructured data -- and then ...
In this chapter of our e-book on managing and using pools of big data, readers will benefit from expert tips on integrating data in Hadoop systems ...
Technological buzz, like that surrounding Hadoop, can easily blur the lines between software benefits and drawbacks. Hadoop clusters make it easier ...
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Predictive analytics capabilities allow for top-notch big data modeling
Building effective analytical models is a key facet of big data analytics applications -- though doing so is easier said than done.
This e-book ...
Market trends tell the future of predictive analytics deployments
Predictive analytics employs statistical or machine-learning models to discover patterns and relationships in data, thereby enabling the prediction ...
Machine data equals big value for analytics programs
Sensors capture large volumes of data about the operations of industrial equipment; similarly, log files gather huge amounts of information about ...