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: 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: Ralph Kimball Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 2nd Edition ISBN: 0471200247 ISBN-13(EAN): 9780471200246 Издательство: Wiley Рейтинг: Цена: 47520.00 T Наличие на складе: Поставка под заказ. Описание: Single most authoritative guide from the inventor of the technique. Presents unique modeling techniques for e-commerce, and shows strategies for optimizing performance. Companion Web site provides updates on dimensional modeling techniques, links related to sites, and source code where appropriate.
Автор: Alejandro Vaisman; Esteban Zim?nyi Название: Data Warehouse Systems ISBN: 3662513501 ISBN-13(EAN): 9783662513507 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book delivers extensive coverage of data warehousing and business intelligence technologies, from basic principles to recent applications. It illustrates how all concepts can be implemented using Microsoft Analysis Services and Pentaho Business Analytics.
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: Wolfgang Behme; Harry Mucksch Название: Data Warehouse-gest?tzte Anwendungen ISBN: 3409116591 ISBN-13(EAN): 9783409116596 Издательство: Springer Рейтинг: Цена: 39180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In Ergдnzung zu ihrem bereits in der 4. Auflage erscheinenden Buch zum Data Warehouse-Konzept widmen sich die Autoren hier ganz der Beschreibung verschiedener Anwendungsmцglichkeiten. Der Nutzen eines Data Warehouses entsteht nicht in erster Linie durch die Speicherung, sondern vielmehr erst durch die zielgerichtete Aufarbeitung und Analyse der Informationen. Dieses fьhrt zu einer Fьlle von Einsatzmцglichkeiten (wie z.B. Balanced Scorecards oder Data Mining-Auswertungen zur Vorhersage von Gasverbrдuchen), die fьr Unternehmen gewinnbringend genutzt werden kцnnen.
Автор: Katharina Wirtz Название: Der Data-Warehouse-Rahmenplan ISBN: 3824476215 ISBN-13(EAN): 9783824476213 Издательство: Springer Рейтинг: Цена: 65290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Katharina Wirtz untersucht wie, ausgehend von den Daten der operativen Systeme und dem Informationsbedarf der Entscheidungstr ger, eine bersichtliche Anordnung der Daten in einem Data-Warehouse erzielt werden kann.
Автор: Eitel Maur; Robert Winter Название: Data Warehouse Management ISBN: 3540005854 ISBN-13(EAN): 9783540005858 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: Blokdyk Gerardus Название: Data Warehouse A Complete Guide - 2019 Edition ISBN: 0655809023 ISBN-13(EAN): 9780655809029 Издательство: Неизвестно Рейтинг: Цена: 122770.00 T Наличие на складе: Невозможна поставка. Описание:
Can the project stakeholders wait for a data warehouse to be completed before getting results, or do they need reports and data now? What is your data warehouse? How much importance needs to be given to metadata modeling during data warehouse development and how can you standardize the metadata model in data warehousing? Which systems do you or your group / department maintain? Specifically what data do you plan to send from the EHR to the data warehouse and in what format?
Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department.
Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'
This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Warehouse investments work better.
This Data Warehouse All-Inclusive Self-Assessment enables You to be that person.
All the tools you need to an in-depth Data Warehouse Self-Assessment. Featuring 860 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Warehouse improvements can be made.
In using the questions you will be better able to:
- diagnose Data Warehouse projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- implement evidence-based best practice strategies aligned with overall goals
- integrate recent advances in Data Warehouse and process design strategies into practice according to best practice guidelines
Using a Self-Assessment tool known as the Data Warehouse Scorecard, you will develop a clear picture of which Data Warehouse areas need attention.
Your purchase includes access details to the Data Warehouse self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria:
- The latest quick edition of the book in PDF
- The latest complete edition of the book in PDF, which criteria correspond to the criteria in...
- The Self-Assessment Excel Dashboard
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
- In-depth and specific Data Warehouse Checklists
- Project management checklists and templates to assist with implementation
INCLUDES LIFETIME SELF ASSESSMENT UPDATES
Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Автор: Blokdyk Gerardus Название: Azure SQL Data Warehouse A Complete Guide - 2019 Edition ISBN: 0655549285 ISBN-13(EAN): 9780655549284 Издательство: Неизвестно Рейтинг: Цена: 122770.00 T Наличие на складе: Невозможна поставка. Описание:
What type of data consumption do you support? Is this a brand new solution, or are you augmenting an existing solution? How do you provide and measure performance? Who will own and be responsible for tagging the data sets? How does database as a service make sense for an enterprise like your organization?
This one-of-a-kind Azure SQL Data Warehouse self-assessment will make you the reliable Azure SQL Data Warehouse domain auditor by revealing just what you need to know to be fluent and ready for any Azure SQL Data Warehouse challenge.
How do I reduce the effort in the Azure SQL Data Warehouse work to be done to get problems solved? How can I ensure that plans of action include every Azure SQL Data Warehouse task and that every Azure SQL Data Warehouse outcome is in place? How will I save time investigating strategic and tactical options and ensuring Azure SQL Data Warehouse costs are low? How can I deliver tailored Azure SQL Data Warehouse advice instantly with structured going-forward plans?
There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Azure SQL Data Warehouse essentials are covered, from every angle: the Azure SQL Data Warehouse self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Azure SQL Data Warehouse outcomes are achieved.
Contains extensive criteria grounded in past and current successful projects and activities by experienced Azure SQL Data Warehouse practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Azure SQL Data Warehouse are maximized with professional results.
Your purchase includes access details to the Azure SQL Data Warehouse self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria:
- The latest quick edition of the book in PDF
- The latest complete edition of the book in PDF, which criteria correspond to the criteria in...
- The Self-Assessment Excel Dashboard
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
- In-depth and specific Azure SQL Data Warehouse Checklists
- Project management checklists and templates to assist with implementation
INCLUDES LIFETIME SELF ASSESSMENT UPDATES
Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Автор: Naveen Prakash; Deepika Prakash Название: Data Warehouse Requirements Engineering ISBN: 9811349878 ISBN-13(EAN): 9789811349874 Издательство: Springer Рейтинг: Цена: 55890.00 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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