Building and Maintaining a Data Warehouse, Silvers, Fon
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: 61750.00 T 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: Ralph Kimball Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition ISBN: 1118530802 ISBN-13(EAN): 9781118530801 Издательство: Wiley Рейтинг: Цена: 52800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This revised and updated edition of the bestseller provides a complete library of dimensional modeling techniques, the most comprehensive collection ever written.
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: Barroso Luiz Andre, Holzle Urs, Ranganathan Parthasarathy Название: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition ISBN: 1681734338 ISBN-13(EAN): 9781681734330 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 60990.00 T Наличие на складе: Нет в наличии. Описание: This book describes warehouse-scale computers (WSCs), the computing platforms that power cloud computing and all the great web services we use every day. It discusses how these new systems treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert to deliver good levels of internet service performance. The book details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. Each chapter contains multiple real-world examples, including detailed case studies and previously unpublished details of the infrastructure used to power Google's online services. Targeted at the architects and programmers of today's WSCs, this book provides a great foundation for those looking to innovate in this fascinating and important area, but the material will also be broadly interesting to those who just want to understand the infrastructure powering the internet.The third edition reflects four years of advancements since the previous edition and nearly doubles the number of pictures and figures. New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime. Further discussions of emerging trends and opportunities ensure that this revised edition will remain an essential resource for educators and professionals working on the next generation of WSCs.
Автор: Sourav S. Bhowmick; Sanjay K. Madria; Wee K. Ng Название: Web Data Management ISBN: 144191806X ISBN-13(EAN): 9781441918062 Издательство: Springer Рейтинг: Цена: 67970.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Eitel Maur; Robert Winter Название: Data Warehouse Management ISBN: 3642624553 ISBN-13(EAN): 9783642624551 Издательство: Springer Рейтинг: Цена: 47880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Die Herausforderungen des Data Warehousing liegen l ngst jenseits von Grundkonzeption und Architektur, die weitestgehend gefestigt sind. Ein ganzheitliches proaktives Datenqualit tsmanagement und integriertes Metadatenmanagement sind f r ein effektives Data-Warehouse-System heute ebenso elementare Voraussetzung wie Datenschutz und Datensicherheit, die im Data-Warehouse-Umfeld neue Bedeutung erlangt haben. Zahlreiche berschneidungen und daher Synergiepotenziale bestehen mit Customer Relationship Management, Enterprise Application Integration und Knowledge Management.
Die Autoren zeigen zu diesem Zweck fundierte Konzepte und praktikable L sungen auf, die speziell im zweiten Teil anhand realer Umsetzungen mit bedeutenden europ ischen Unternehmen (UBS, Credit Suisse, Swiss Re u. a.) verdeutlicht werden.
Автор: Gavin JT Powell Название: Oracle Data Warehouse Tuning for 10g, ISBN: 1555583350 ISBN-13(EAN): 9781555583354 Издательство: Неизвестно Рейтинг: Цена: 154800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Tuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly. This title explores critical issues in running efficient data warehouse applications.
Автор: Shaw Название: Practical Hive ISBN: 1484202724 ISBN-13(EAN): 9781484202722 Издательство: Springer Рейтинг: Цена: 35390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software.In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. What You Will LearnInstall and configure Hive for new and existing datasetsPerform DDL operationsExecute efficient DML operationsUse tables, partitions, buckets, and user-defined functionsDiscover performance tuning tips and Hive best practicesWho This Book Is ForDevelopers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL.
Автор: Bon K. Sy; Arjun K. Gupta Название: Information-Statistical Data Mining ISBN: 1461347556 ISBN-13(EAN): 9781461347552 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA.
Автор: Carsten Dittmar Название: Knowledge Warehouse ISBN: 382448126X ISBN-13(EAN): 9783824481262 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Es baut auf dem Data Warehouse auf, uberwindet aber dessen Defizite und ermoeglicht die sinnvolle Integration bisher isolierter Theoriefelder, die sich mit dem Phanomen des Lernens auf multipersoneller Ebene und mit dem Management der Ressource Wissen auseinandersetzen.
Автор: Naveen Prakash; Deepika Prakash Название: Data Warehouse Requirements Engineering ISBN: 9811070180 ISBN-13(EAN): 9789811070181 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue.The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.
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