Bigdata is bigbusiness. But having the dataand the computational power to process it isn’t nearly enough to produce meaningful results. BigData, DataMining, andMachineLearning:ValueCreationforBusinessLeadersandPractitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of bigdata analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how bigdata analytics can be leveraged to foster positive change and drive efficiency.
With continued exponential growth in dataand ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Bigdata analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, andpractitioners require, and includes:
– A complete overview of bigdataand its notable characteristics
– Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases
– Comprehensive coverage of datamining, text analytics, andmachinelearning algorithms
– A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes
BigData, DataMining, andMachineLearning provides technology and
marketing executives with the complete resource that has been notably
absent from the veritable libraries of published books on the topic.
Take control of your organization’s bigdata analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.