Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann
Автор: Dan Linstedt Название: Building a Scalable Data Warehouse with Data Vault 2.0 ISBN: 0128025107 ISBN-13(EAN): 9780128025109 Издательство: Elsevier Science Рейтинг: Цена: 9262 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
TheData 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.
Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast
Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse
Demystifies data vault modeling with beginning, intermediate, and advanced techniques
Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
Автор: Bradshaw Shannon, Chodorow Kristina Название: Mongodb: The Definitive Guide: Powerful and Scalable Data Storage ISBN: 1491954469 ISBN-13(EAN): 9781491954461 Издательство: Wiley Рейтинг: Цена: 8394 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of using document-oriented databases.
Автор: Dennis D. Smith Название: Designing Maintainable Software ISBN: 146127169X ISBN-13(EAN): 9781461271697 Издательство: Springer Рейтинг: Цена: 6986 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Dennis D. Smith Название: Designing Maintainable Software ISBN: 0387987835 ISBN-13(EAN): 9780387987835 Издательство: Springer Рейтинг: Цена: 12577 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Talks about maintaining computer software. This book aims to improve a programmer`s ability for altering code to fit changing requirements and for detecting and correcting errors. It proposes the use of a set of human factors principles that govern the programmer-software-event world interactions and form the core of the maintenance process.
Автор: Peter Csaba ?lveczky Название: Designing Reliable Distributed Systems ISBN: 1447166868 ISBN-13(EAN): 9781447166863 Издательство: Springer Рейтинг: Цена: 8384 р. Наличие на складе: Нет в наличии.
Описание: This classroom-tested textbook provides an accessible introduction to the design, formal modeling, and analysis of distributed computer systems.
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.
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.
Автор: Bahaaldine Azarmi Название: Scalable Big Data Architecture ISBN: 1484213270 ISBN-13(EAN): 9781484213278 Издательство: Springer Рейтинг: Цена: 4186 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Peter Mueller; Jiannong Cao; Cho-Li Wang Название: Scalable Information Systems ISBN: 3642104843 ISBN-13(EAN): 9783642104848 Издательство: Springer Рейтинг: Цена: 10480 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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