Understanding Big Data
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Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data
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Author : IBM Paul Zikopoulos
language : en
Publisher: McGraw Hill Professional
Release Date : 2011-10-19
Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data written by IBM Paul Zikopoulos and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-19 with Computers categories.
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer
Understanding Big Data Scalability
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Author : Cory Isaacson
language : en
Publisher: Prentice Hall
Release Date : 2014-07-11
Understanding Big Data Scalability written by Cory Isaacson and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-11 with Computers categories.
Get Started Scaling Your Database Infrastructure for High-Volume Big Data Applications “Understanding Big Data Scalability presents the fundamentals of scaling databases from a single node to large clusters. It provides a practical explanation of what ‘Big Data’ systems are, and fundamental issues to consider when optimizing for performance and scalability. Cory draws on many years of experience to explain issues involved in working with data sets that can no longer be handled with single, monolithic relational databases.... His approach is particularly relevant now that relational data models are making a comeback via SQL interfaces to popular NoSQL databases and Hadoop distributions.... This book should be especially useful to database practitioners new to scaling databases beyond traditional single node deployments.” —Brian O’Krafka, software architect Understanding Big Data Scalability presents a solid foundation for scaling Big Data infrastructure and helps you address each crucial factor associated with optimizing performance in scalable and dynamic Big Data clusters. Database expert Cory Isaacson offers practical, actionable insights for every technical professional who must scale a database tier for high-volume applications. Focusing on today’s most common Big Data applications, he introduces proven ways to manage unprecedented data growth from widely diverse sources and to deliver real-time processing at levels that were inconceivable until recently. Isaacson explains why databases slow down, reviews each major technique for scaling database applications, and identifies the key rules of database scalability that every architect should follow. You’ll find insights and techniques proven with all types of database engines and environments, including SQL, NoSQL, and Hadoop. Two start-to-finish case studies walk you through planning and implementation, offering specific lessons for formulating your own scalability strategy. Coverage includes Understanding the true causes of database performance degradation in today’s Big Data environments Scaling smoothly to petabyte-class databases and beyond Defining database clusters for maximum scalability and performance Integrating NoSQL or columnar databases that aren’t “drop-in” replacements for RDBMSes Scaling application components: solutions and options for each tier Recognizing when to scale your data tier—a decision with enormous consequences for your application environment Why data relationships may be even more important in non-relational databases Why virtually every database scalability implementation still relies on sharding, and how to choose the best approach How to set clear objectives for architecting high-performance Big Data implementations The Big Data Scalability Series is a comprehensive, four-part series, containing information on many facets of database performance and scalability. Understanding Big Data Scalability is the first book in the series. Learn more and join the conversation about Big Data scalability at bigdatascalability.com.
Big Data For Beginners
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Author : Vince Reynolds
language : en
Publisher:
Release Date : 2016-05-16
Big Data For Beginners written by Vince Reynolds and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-16 with Big data categories.
Big Data For Beginners! The Ultimate Beginners Crash Course To Understanding And Interpreting Big Data! Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved Business Performance, Life Decisions & More? If So You've Come To The Right Place - Regardless Of How Little Experience You May Have! Here's A Preview Of What Big Data For Beginners! Contains... A Conundrum Called 'Big Data' How To Understand Big Data Better What Can Big Data Do For You? Understanding The Analytics (And The Importance) The Obstacles And Importance Of The Big Data Situation We're In A Closer Look At Key Big Data Challenges Generating Business Value through Data Mining And Much, Much More! Order Your Copy Now And Let's Get Started!
Understanding Research In The Digital Age
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Author : Sarah Quinton
language : en
Publisher: SAGE
Release Date : 2018-02-19
Understanding Research In The Digital Age written by Sarah Quinton and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Business & Economics categories.
A guide to understanding digital research from both a conceptual and practical perspective, helping the reader to make sense of the issues, challenges and opportunities of social science research in the digital age. The book will help the reader to understand how the digital context impacts on social science research and is divided into three main sections: A Justification & Reconceptualization of Digital Research: The authors explore how far the digital environment is transforming social science research. Accessing Digital Data: An outline of the characteristics of digital data, temporality issues in digital research and different data sources. Moving Forward with Digital Research: Examining the practicalities of how to conduct digital research, with examples and suggestions to strengthen the implementation of digital research. Suitable for Masters and Doctoral students undertaking digital or online research methods courses, as well as anyone doing a research project or dissertation with an online component.
Big Data Bigdata 2018
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Author : Francis Y. L. Chin
language : en
Publisher: Springer
Release Date : 2018-06-20
Big Data Bigdata 2018 written by Francis Y. L. Chin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-20 with Computers categories.
This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.
Big Data
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Author : Min Chen
language : en
Publisher: Springer
Release Date : 2014-05-05
Big Data written by Min Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-05 with Computers categories.
This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
Managing Big Data
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Author : Chandrakant Naikodi
language : en
Publisher: Vikas Publishing House
Release Date :
Managing Big Data written by Chandrakant Naikodi and has been published by Vikas Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Managing Big Data is a simple book which introduces students and professionals to Big Data. Although the book has been designed for unassisted reading, lot of insights from the author makes this a very thoughtful book which will automatically lead to yearning for more learning on the subject.
Big Data Analytics For Sustainable Computing
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Author : Haldorai, Anandakumar
language : en
Publisher: IGI Global
Release Date : 2019-09-20
Big Data Analytics For Sustainable Computing written by Haldorai, Anandakumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Computers categories.
Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Research Anthology On Big Data Analytics Architectures And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-09-24
Research Anthology On Big Data Analytics Architectures And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Low Latency Big Data Visualisation
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Author : Tan Jerome, Nicholas
language : en
Publisher: KIT Scientific Publishing
Release Date : 2019-11-20
Low Latency Big Data Visualisation written by Tan Jerome, Nicholas and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Computers categories.