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Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data
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About Big Data Appliances For In-Memory Computing: A
Product Description This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries. Review Excellent, clear writing on a potentially complex, difficult to understand subject. Traditional data structures and handling methods have been proving inadequate for some time under the weight of huge amounts of data and the need for speed, "right now" information flows. The author clearly explains the interaction between hardware, data structure differences with "big data" and retrieval methods - all absolutely vital insights for the IT professional going forward. "Wrangle" is the right word for this challenge, and this very readable book shows the critical success factors in this work. Worth the purchase! - Paul Deis From the Author Big Data Appliances has started creating a buzz in the big data and in-memory computing platform terrain. Big data is creating a new technology revolution in the 21st century, teeming with lifestyle devices impacting all of society for building an intelligent lifestyle and spawning new business models. Big data delivers a next wave generation of connected homes, digital economy, and personalized healthcare. In his new book, "Big Data Appliances for In-Memory Computing - A Real-world Research Guide for Corporations to Tame and Wrangle Their Data," Ganapathi Pulipaka takes the audience on an incredible scientific expedition to research and explores the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured data channels with massive parallelization techniques to explore, conceptualize, envisage, presage, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation and machine intelligence that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries with human-centered design. Big Data reached Trough of Disillusionment in 2014. Many industrial research experts believed that it would take two to five years over an extended arc of time for big data to scale along Gartner's Darwinistic hype curve and reach Plateau of Productivity. Gartner listed only 37 emerging technologies in 2015. Big data in 2015 is a reality and beyond Plateau of Productivity. It disappeared entirely from hype cycle. Gartner dropped big data off of the hype cycle for emerging technologies in 2015. A broad class of big data appliances such as IBM DB2 Blu DB2 Acceleration, Oracle Exadata In-Memory Machine, and SAP HANA demonstrated the speed, agility, and off-the-charts dynamic performance. The research study explores the big-data appliances to resolve complex business conundrums of organization
