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From the Back Cover
This important and timely text/reference presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics.
Comprehensively covering a diverse range of computer systems and proven techniques for high-performance big-data analytics, the book also presents case studies, practical guidelines, and best practices for enabling decision-making toward implementing the appropriate computer systems and approaches.
Topics and features:
- Includes case studies and learning activities throughout the book, and self-study exercises at the end of every chapter
- Presents detailed case studies on social media analytics for intelligent businesses, and on big data analytics in the healthcare sector
- Describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructurerequirements of applications which generate big data
- Examines real-time analytics solutions, such as machine data analytics and operational analytics
- Introduces in-database processing and in-memory analytics techniques for data mining
- Discusses the use of mainframes for handling real-time big data, and the latest types of data management systems for big and fast data analytics
- Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing
- Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics
Software engineers, cloud professionals and big data scientists will find this book to be an informative and inspiring read, highlighting the indispensable role data analytics will play in shaping a smart future.
J. Chi –
Poorly Edited and DocumentedI ordered by mistake (Amazon page load issue resulted in purchase when sample download was intended).Upon reading the first chapter, the text is laden with jargon, superlatives, and unneccesarily flowery language. English is not the first language of the authors; while I have no issue with that in itself, Springer obviously made no attempt to remedy poor grammar and language in a book clearly intended for english-speaking markets.Additionally, the authors present figures and information without proper references–for example, noting information came from “a notable paper from Intel,” inline with the book text, is about the best citation the authors made.I commend the authors for assembling a large array of information, but credibility and intelligibilty of the text is significantly diminished by poor writing and editing.