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: Dan Linstedt Название: Building a Scalable Data Warehouse with Data Vault 2.0 ISBN: 0128025107 ISBN-13(EAN): 9780128025109 Издательство: Elsevier Science Рейтинг: Цена: 9262.00 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: Pathan Mukaddim Название: Advanced Content Delivery, Streaming, and Cloud Services ISBN: 1118575210 ISBN-13(EAN): 9781118575215 Издательство: Wiley Рейтинг: Цена: 15198.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While other books on the market provide limited coverage of advanced CDNs and streaming technologies, concentrating solely on the fundamentals, this book provides an up-to-date comprehensive coverage of the state-of-the-art advancements in CDNs, with a special focus on Cloud-based CDNs.
Автор: Jackson Название: Streaming (RLE Edu L Sociology of Education) ISBN: 1138008265 ISBN-13(EAN): 9781138008267 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this volume a streamed school is studied in detail and parents? responses are recorded. Eleven plus is (and has been) under criticism, but many children are selected by a `seven plus? because they are streamed into A, B or C classes. Few children escape the label once it is pinned on them ? less than six in one hundred change their stream. The study shows that on a national sample the date on which a child is born ? irrespective of his ability ? affects his or her stream at the age of 7 and his results at eleven plus. Finally ten streamed schools are compared, academically and socially, with ten unstreamed schools. In the final chapters the author makes practical proposals by which primary schools could recognise and increase the flow of gifted children.
Автор: Bing Benny Название: Next-Generation Video Coding and Streaming ISBN: 1118891309 ISBN-13(EAN): 9781118891308 Издательство: Wiley Рейтинг: Цена: 14248.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reviews the new High Efficiency Video Coding (HEVC) standard and advancements in adaptive streaming technologies for use in broadband networks and the Internet This book describes next-generation video coding and streaming technologies with a comparative assessment of the strengths and weaknesses.
Автор: Nabi Название: Pro Spark Streaming ISBN: 1484214803 ISBN-13(EAN): 9781484214800 Издательство: Springer Рейтинг: Цена: 3766.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. Pro Spark Streaming walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in the book include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming.What You'll Learn:Spark Streaming application development and best practicesLow-level details of discretized streamsThe application and vitality of streaming analytics to a number of industries and domainsOptimization of production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and NagiosIngestion of data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiverIntegration and coupling with HBase, Cassandra, and RedisDesign patterns for side-effects and maintaining state across the Spark Streaming micro-batch modelReal-time and scalable ETL using data frames, SparkSQL, Hive, and SparkRStreaming machine learning, predictive analytics, and recommendationsMeshing batch processing with stream processing via the Lambda architectureWho This Book Is For:
The audience includes data scientists, big data experts, BI analysts, and data architects.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
