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Enables IT managers and business decision makers to gain a clear understanding of what Big Data Computing really means, what it might do for them and when it is practical
Gives an introduction to the database solutions that were a first step toward enabling a data-based enterprise. Also gives a detailed description of Data Warehousing related solutions that paved the road to Big Data Computing solutions
Addresses the key differentiator of Big Data Computing environments, namely, that Big Data Computing systems combine the power of elastic infrastructure and information management with the ability to analyze and discern recurring patterns in the colossal pools of operational and transactions data to leverage and transform them into success patterns for the enterprise's business. Also provides a very wide treatment of big data computing that covers the functionalities and features of NoSQL, MapReduce programming models, Hadoop technologies and commercial product environments
Covers most major areas of interest in Big Data Computing, namely, analytical techniques and industry analytic applications in the areas of Web, social networks, mobile and real time applications
Focuses on no particular vendor or service offering. While there are good descriptions of the Amazon, Google and Microsoft Big Data applications, the text also introduces solutions from other players
This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.
Table of Contents
Preface. Acknowledgements. Patterns in Data Deluge. Genesis of Big Data Computing. Database Basics. Text Mining Basics. Road to Big Data Computing. Data Warehouse Basics. Data Mining Basics. Analytics Basics. Cloud Computing Basics. Big Data Computing. Big Data. Multimedia Big Data. Big Data Technologies. Big Data Vendors. Big Data Development with Hadoop. Big Data Implementation. Big Data Computing Applications. Web Applications. Social Network Applications. Mobile Applications. Real-Time Data Applications. Context-Aware Applications. Epilogue. Appendix. References. Index.