Big Data analytics guide outlines the business case for big data, technology innovations, real-world examples, and insights from analytic leaders who are on the forefront of the Big Data market, and interesting market research statistics that highlight how C-level executives are using Big Data now and their plans for using it to their advantage in the future.
This white paper provides a definition of big data, discusses the opportunities presented by big data, describes a search engine focused technology architecture and tool kit for big data, and illustrates practical application of big data through case studies.
This whitepaper introduces big data analytics – what is big data? what is big data analytics? why use big data analytics? what is Hadoop? how to use Hadoop? – and describes the emerging technologies, with a focus on Hadoop, used for big data analytics, and a step-by-step process to getting started on your big data analytics journey using Hadoop.
A very good introduction to big data and why you should care about it What is big data? Why should you care about big data?
This research explores how businesses are using big data analytics to create business value – converting information into insights and value. It determined that top performers view big data as a differentiator, there are three levels of big data competency, and proposes a new methodology for business leaders to use big data analytics for business value.
This whitepaper discusses the new security challenges introduced by big data and proposes a solution to address them.
This paper presents the opportunities and challenges presented by big data in the field of development. The analysis presented here can be adapted for other
The authors – leading researchers – paint a picture of great gains from big data adoption but warn the reader of the challenges that must
This analysis provides key insights into maximizing the capabilities of big data and cloud computing, focusing on innovative approaches like the Cloud Analytics Reference Architecture.
This report answers the key question surrounding big data: What exactly is Big Data? How does it differ from existing data classification? How can one