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February 2013

Unlocking the business benefits in big data

In many companies, big data technologies have moved to the top of the business intelligence, analytics and data warehousing agenda. But tools such as Hadoop and NoSQL databases are new to many IT managers, and dealing with the unstructured and semi-structured data that those technologies are designed to store is also uncharted waters for lots of organizations. This e-book will provide insight and advice on using big data to generate business value and competitive advantages, with chapters on big data analytics, big data management, data integration issues, and deploying and managing Hadoop systems.


  • Taking advantage of big data analytics

    Organizations increasingly collect Web server logs, social media data, information from sensors and other forms of unstructured data -- and then looking to use them in combination with structured transactional data to improve business operations and gain a competitive edge over competitors. In this chapter of our e-book on managing and using pools of big data, readers will find in-depth advice on planning and implementing successful big data analytics projects that produce tangible business benefits.

  • Putting your big data strategy on the right track

    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.

  • Orchestrating a big data integration strategy

    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 and NoSQL databases into data warehouse environments. Readers can expect insight into collecting data from sensors and other monitoring devices and making it available for analysis, as well as a look into the different technology options to consider for big data integration processes.

  • The ins and outs of harnessing Hadoop technology

    Technological buzz, like that surrounding Hadoop, can easily blur the lines between software benefits and drawbacks. Hadoop clusters make it easier for organizations to process and analyze streams of big data from both internal and external sources -- but there are other variables to consider. Specifically, what the software can and can't do with large amounts of structured and unstructured data. In the latest chapter in our e-book on big data, learn about developing, implementing and managing Hadoop clusters -- and get a leg up on the competition.


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