Автор: Martin Kleppmann Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ISBN: 1449373321 ISBN-13(EAN): 9781449373320 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Автор: Rainardi, Vincent Название: Building a data warehouse ISBN: 1430211962 ISBN-13(EAN): 9781430211969 Издательство: Springer Рейтинг: Цена: 67820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Here is the ideal field guide for data warehousing implementation. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes.
Автор: Giguere Название: Programming Interviews Exposed: Secrets to Landing Your Next Job, 3rd Edition ISBN: 1118261364 ISBN-13(EAN): 9781118261361 Издательство: Wiley Рейтинг: Цена: 25330.00 T Наличие на складе: Поставка под заказ. Описание: Be prepared for your next job interview with this tried-and-true advice In today's tight job market, competition for programming jobs is hotter than ever. This third edition of a popular guide to the programming interviews includes new code examples, information on the latest languages, new chapters on sorting and design patterns, tips on using LinkedIn, and a downloadable app to help prepare applicants for the interview. Like its earlier editions, this guide covers what software companies and IT departments want their programmers to know and includes plenty of helpful hints to boost your confidence. Looks at current job search and hiring processes, such as the rise of LinkedIn and other social networks as recruiting resources Addresses the most important languages for a programmer to know and features examples in multiple languages Includes new programming questions designed to sharpen your knowledge Features all-new chapters on design patterns and sorting, including how to deal with memory constraints and mobility issues Walk into your next job interview with confidence, knowing you have thoroughly studied this newest edition of Programming Interviews Exposed.
Автор: Cerquitelli, Tania, Quercia, Daniele, Pasquale, Frank (Eds.) Название: Transparent data mining for big and small data. ISBN: 3319540238 ISBN-13(EAN): 9783319540238 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions.
Автор: Woo Название: Shadow Algorithms Data Miner ISBN: 1439880239 ISBN-13(EAN): 9781439880234 Издательство: Taylor&Francis Рейтинг: Цена: 74510.00 T Наличие на складе: Невозможна поставка. Описание:
Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.
With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.
Автор: Mike Frampton Название: Complete Guide to Open Source Big Data Stack ISBN: 1484221486 ISBN-13(EAN): 9781484221488 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
See a big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.
This book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components, each of which serves a specific function such as storage, resource management, or queueing. Each component has a big data heritage and community to support it. Components can support big data in that they are able to scale, and are distributed and robust systems.
In the Complete Guide to Open Source Big Data Stack, Mike Frampton begins by creating a private cloud and then by installing and examining Apache Brooklyn. After that he uses each chapter to introduce one piece of the big data stack--sharing how to source the software and then how to install it. He shows you how it works by simple example, step by step and chapter by chapter, and creates a real big data stack. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resources management, processing, queuing, frameworks, data visualization, and more.
What You'll Learn
Install a private cloud onto the local cluster using Apache cloud stack
Source, install, and configure Apache: Brooklyn, Kafka, Mesos, and Zeppelin
See how Brooklyn can be used to install Hadoop, Cassandra, and Riak, and how data can be moved
Use Apache Spark for big data stack data processing
Who This Book Is For
Developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It is also for anyone who would like to further their career in this area by adding big data skills.
Автор: Hanan Samet Название: Foundations of Multidimensional and Metric Data Structures, ISBN: 0123694469 ISBN-13(EAN): 9780123694461 Издательство: Elsevier Science Рейтинг: Цена: 69610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Discusses multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. This book includes a comprehensive survey to spatial and multidimensional data structures and algorithms. It also includes implementation details for some of the most useful data structures.
Автор: Steele Название: Algorithms for Data Science ISBN: 3319457950 ISBN-13(EAN): 9783319457956 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses.
This book has three parts:
(a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter.
(b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.
(c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials.This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.
Автор: Curtis Smith Название: Pro Open Source Mail ISBN: 1430211733 ISBN-13(EAN): 9781430211730 Издательство: Springer Рейтинг: Цена: 47760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Providing the range of mail-related services expected by organizations can be a confusing, daunting process. Pro Open Source Mail: Building an Enterprise Mail Solution presents a comprehensive guide to managing the most important e-mail services, including user administration, mail transfer agents, remote e-mail access, virus protection, spam and e-mail filtering, web-based e-mail, and mailing list maintenance.
Beginning with installation and configuration of the popular server-based operating system Fedora Core, the book outlines the system and network preparation process geared towards running a complete enterprise e-mail system. Subsequent chapters cover installation and configuration of sendmail, the popular POP3/IMAP server Dovecot, and ClamAV and SpamAssassin for virus protection and spam filtering. With a nod to the global e-mail availability now required by many organizations, this book also guides you through configuration of a web-based mail interface, mailing-list software, and advanced security and privacy topics.
Автор: Philipp Cimiano; Flavius Frasincar; Geert-Jan Houb Название: Engineering the Web in the Big Data Era ISBN: 3319198890 ISBN-13(EAN): 9783319198897 Издательство: Springer Рейтинг: Цена: 81990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Web application modeling and engineering; mobile Web applications.- Social Web applications.- Semantic Web applications.- Quality and accessibility aspects of Web applications.- Web applications composition and mashups.- Web user interfaces.- Security and privacy in Web applications.
Автор: P?r J. ?gerfalk; Brian Fitzgerald; Klaas-Jan Stol Название: Software Sourcing in the Age of Open ISBN: 3319172654 ISBN-13(EAN): 9783319172651 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: By pointing out characteristics along with benefits and pitfalls of each approach, the authors provide nuanced and research-based advice to managers and developers facing software sourcing decisions. The content is also suitable for postgraduate students interested in contemporary software sourcing approaches.
Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi Название: Data Mining and Big Data ISBN: 331961844X ISBN-13(EAN): 9783319618449 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. They were organized in topical sections named: association analysis; big data; data analysis; data mining;
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