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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann



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Автор: Martin Kleppmann
Название:  Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Перевод названия: Мартин Клеппманн: Разработка гибких приложений работы с данными
ISBN: 9781449373320
Издательство: Wiley
Классификация:
ISBN-10: 1449373321
Обложка/Формат: Paperback
Вес: 1.034 кг.
Дата издания: 25.01.2016
Язык: English
Иллюстрации: Black & white illustrations
Размер: 180 x 234 x 30
Читательская аудитория: Technical / manuals
Подзаголовок: The big ideas behind reliable, scalable, and maintainable systems
Ссылка на Издательство: Link
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Поставляется из: Англии



Designing Reliable Distributed Systems

Автор: Peter Csaba ?lveczky
Название: Designing Reliable Distributed Systems
ISBN: 1447166868 ISBN-13(EAN): 9781447166863
Издательство: Springer
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Цена: 8909 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This classroom-tested textbook provides an accessible introduction to the design, formal modeling, and analysis of distributed computer systems.

Building a Scalable Data Warehouse with Data Vault 2.0

Автор: Dan Linstedt
Название: Building a Scalable Data Warehouse with Data Vault 2.0
ISBN: 0128025107 ISBN-13(EAN): 9780128025109
Издательство: Elsevier Science
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Цена: 8754 р.
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Описание: The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. . "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss:. . . How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. . . Important data warehouse technologies and practices. . . Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture.

Guerrilla Capacity Planning / A Tactical Approach to Planning for Highly Scalable Applications and Services

Автор: Gunther Neil J.
Название: Guerrilla Capacity Planning / A Tactical Approach to Planning for Highly Scalable Applications and Services
ISBN: 3540261389 ISBN-13(EAN): 9783540261384
Издательство: Springer
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Цена: 10394 р.
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Описание: In these days of shortened fiscal horizons and contracted time-to-market schedules, traditional approaches to capacity planning are often seen by management as tending to inflate their production schedules. Rather than giving up in the face of this kind of relentless pressure to get things done faster, Guerrilla Capacity Planning facilitates rapid forecasting of capacity requirements based on the opportunistic use of whatever performance data and tools are available in such a way that management insight is expanded but their schedules are not.A key Guerrilla concept is tactical planning whereby short-range planning questions and projects are brought up in team meetings such that management is compelled to know the answer, and therefore buys into capacity planning without recognizing it as such. Once you have your "foot in the door", capacity planning methods can be refined in an iterative cycle of improvement called "The Wheel of Capacity Planning". Another unique Guerrilla tool is Virtual Load Testing, based on Dr. Gunther's "Universal Law of Computational Scaling", which provides a highly cost-effective method for assessing application scalability.

Engineering scalable, elastic, and cost-efficient cloud computing applications

Название: Engineering scalable, elastic, and cost-efficient cloud computing applications
ISBN: 3319542850 ISBN-13(EAN): 9783319542850
Издательство: Springer
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Цена: 8166 р.
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Описание: Overviewing problems involved in engineering scalable, elastic, and cost-efficient cloud computing services, this book describes the CloudScale method a description of rescuing tools and the required steps to exploit these tools. With the CloudScale method, software architects can analyze both existing and planned IT services.

Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications

Автор: Brown MC
Название: Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications
ISBN: 1449331165 ISBN-13(EAN): 9781449331160
Издательство: Wiley
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Цена: 2902 р.
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Описание: With this concise guide, you`ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social media where hundreds of thousands of users read and write large volumes of information.

Scalable Big Data Architecture

Автор: Bahaaldine Azarmi
Название: Scalable Big Data Architecture
ISBN: 1484213270 ISBN-13(EAN): 9781484213278
Издательство: Springer
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Цена: 4448 р.
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Описание:

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications, which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution.

When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it's often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time.

This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on.

Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data.

Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.

Scalable Information Systems

Автор: Peter Mueller; Jiannong Cao; Cho-Li Wang
Название: Scalable Information Systems
ISBN: 3642104843 ISBN-13(EAN): 9783642104848
Издательство: Springer
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Цена: 11136 р.
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Описание: Includes the proceedings of the 4th International ICST Conference, INFOSCALE 2009, held in Hong Kong in June 2009. This title features papers that focus on various scalability issues and the approaches to tackle problems arising from the ever growing size and complexity of information.

Reliable Systems on Unreliable Networked Platforms / 12th Monterey Workshop 2005, Laguna Beach, CA, USA, September 22-24, 2005. Revised Selected Papers

Автор: Kordon Fabrice, Sztipanovits Janos
Название: Reliable Systems on Unreliable Networked Platforms / 12th Monterey Workshop 2005, Laguna Beach, CA, USA, September 22-24, 2005. Revised Selected Papers
ISBN: 3540711554 ISBN-13(EAN): 9783540711551
Издательство: Springer
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Цена: 10394 р.
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Описание: This book constitutes the thoroughly refereed post-proceedings of the 12th International Monterey Workshop on Networked Systems with special focus on realization of reliable systems on top of unreliable networked platforms, held in Laguna Beach, CA, USA, in September 2005.The 6 revised full papers presented together with 10 papers contributed by the invited speakers were carefully selected during two rounds of reviewing and improvement from numerous submissions. Major issues covered by the workshop contributions are model-based software development of network-centric system-of-systems, foundations of future design and programming abstractions, active fault management in network-centric systems, intelligent and robust middleware, as well as model-based development of certifiable systems.

Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems / International Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain, June 3-7, 2000 Revised Papers

Автор: Wagner Tom, Rana Omer F.
Название: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems / International Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain, June 3-7, 2000 Revised Papers
ISBN: 354042315X ISBN-13(EAN): 9783540423157
Издательство: Springer
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Цена: 11136 р.
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Описание: Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients like planning, scheduling, coordination, communication, transport, simulation, and module integration technologies and as such constitutes a great challenge to the individual researcher active in the area.The book presents a collection of papers on approaches that will help make deployed and large scale multi-agent systems a reality. The first part focuses on available infrastructure and requirements for constructing research-grade agents and multi-agent systems. The second part deals with support in infrastructure and software development methods for multi-agent systems that can directly support coordination and management of large multi-agent communities; performance analysis and scalability techniques are needed to promote deployment of multi-agent systems to professionals in software engineering and information technology.

Reliable Computer Systems

Автор: Siewiorek
Название: Reliable Computer Systems
ISBN: 156881092X ISBN-13(EAN): 9781568810928
Издательство: Taylor&Francis
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Цена: р.
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Описание: A comprehensive guide to understanding the standards and recent advances in the design of reliable computer systems. It begins with a review of existing reliability techniques and goes on to analyse case studies. The final part presents a methodology for the design of a reliable system.

Mongodb: The Definitive Guide: Powerful and Scalable Data Storage

Автор: Bradshaw Shannon, Chodorow Kristina
Название: Mongodb: The Definitive Guide: Powerful and Scalable Data Storage
ISBN: 1491954469 ISBN-13(EAN): 9781491954461
Издательство: Wiley
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Цена: 8710 р.
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Описание: Manage your data in a database system designed to support modern application development. Written by current and former members of the MongoDB team, the third edition covers new features introduced in MongoDB versions 3.0 and 3.2, and includes a preview of 3.4 features.

Designing Maintainable Software

Автор: Dennis D. Smith
Название: Designing Maintainable Software
ISBN: 146127169X ISBN-13(EAN): 9781461271697
Издательство: Springer
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Цена: 11136 р.
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Описание: Aimed at improving a programmers ability for altering code to fit changing requirements and for detecting and correcting errors, this book argues for a new way of thinking about maintaining software.


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