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La construction du datawarehouse

La construction du datawarehouse

Author: Jean-François Goglin
Publisher: Hermes Science Publications
ISBN: 2746202425
Pages: 246
Year: 2001
Pour construire un datawarehouse, il est nécessaire de concevoir un nouveau type de base, indépendante des bases de production, qui consolide toutes les données propres à un sujet et les transforme en information. Cet ouvrage aborde de façon pragmatique les éléments nécessaires à la mise en œuvre d'un datawarehouse, qu'il s'agisse de son alimentation par des sources hétérogènes, des moteurs OLAP, ROLAP, HOLAP permettant la génération du cube multidimensionnel, de l'administration des métadonnées, et des outils de restitution incluant le datamining. La construction du datawarehouse permet de répondre aux nombreuses questions que se posent les entreprises soucieuses d'optimiser leur système d'information : faut-il commencer par un datamart ? Comment intégrer l'internet dans l'architecture ? Comment réduire les coûts ? Quels sont les pièges d'un tel système ? Cette seconde édition revue prend en compte les développements récents des modes de construction du datawarehouse, et notamment l'apparition du CRM (Customer Relationship Management).
Introduction pratique aux bases de données relationnelles

Introduction pratique aux bases de données relationnelles

Author: D.H. Nguyen, Andreas Meier
Publisher: Springer Science & Business Media
ISBN: 2287310908
Pages: 303
Year: 2006-03-05
Cet ouvrage introduit le lecteur dans le domaine des bases de données relationnelles en présentant une vaste sélection de sujets portant sur la modélisation des données, les langages de base de données, l'architecture des systèmes et l'évolution post-relationnelle. - Notions fondamentales: le modèle relationnel, les composants d’un système de gestion de bases de données, l’organisation de la mise en œuvre d’une base de données, les tâches de gestion des données. - De l'analyse à la base de données : le modèle entité association, la généralisation et l’agrégation, les dépendances et les formes normales,les contraintes d’intégrité. - Aperçu des langages de requête et de manipulation des données: l’algèbre relationnelle, le calcul des prédicats, SQL, QUEL, QBE, le traitement des valeurs nulles, la protection des données. - Les composants de l'architecture d'un système de bases de données : la compilation, l’interprétation et l’optimisation des requêtes, l’environnement multiutilisateur, le concept de transaction et la sérialisation, les méthodes optimiste et pessimiste, les structures de stockage et les méthodes d’accès. L’intégration et la migration des bases de données: l’exploitation des bases de données hétérogènes, les bases de données sur le Web, les règles de conversion pour effectuer l’intégration et la migration, les variantes de migration des bases de données hétérogènes, la planification de l’intégration et de la migration. - L'évolution post-relationnelle : les bases de données réparties, le traitement de la dimension temporelle, l’orientation objet, les bases de données multidimensionnelles, les bases de données floues, les bases de connaissances. L'explication des concepts du modèle relationnel est illustrée par des exemples concrets. Ce livre contient, en outre, un chapitre de révision sous forme dequestions d'approfondissement et d'exercices avec solutions. Cet ouvrage est conçu pour les professionnels en exercice, les responsables de formation, les professeurs et les étudiants des Grandes Écoles qui désirent s'initier à la technologie des bases de données relationnelles par une approche orientée vers la pratique.
Livres hebdo

Livres hebdo

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Year: 1998

Bibliographie nationale française

Bibliographie nationale française

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Year: 1998

Managing Data in Motion

Managing Data in Motion

Author: April Reeve
Publisher: Newnes
ISBN: 0123977916
Pages: 204
Year: 2013-02-26
Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"
Les Livres disponibles

Les Livres disponibles

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Year: 2003
La liste exhaustive des ouvrages disponibles publiés en langue française dans le monde. La liste des éditeurs et la liste des collections de langue française.
Livres de France

Livres de France

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Year: 2001

LIVERSHEBDO

LIVERSHEBDO

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Year: 1998

La Gestión del conocimiento

La Gestión del conocimiento

Author: Federación Española de Sociedades de Archivística, Biblioteconomía y Documentación
Publisher:
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Pages: 657
Year: 2000

The Data Warehouse Toolkit

The Data Warehouse Toolkit

Author: Ralph Kimball, Margy Ross
Publisher: John Wiley & Sons
ISBN: 1118732286
Pages: 600
Year: 2013-07-01
Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.
IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands

IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands

Author: Chuck Ballard, Manish Bhide, Holger Kache, Bob Kitzberger, Beate Porst, Yeh-Heng Sheng, Harald C. Smith, IBM Redbooks
Publisher: IBM Redbooks
ISBN: 0738438499
Pages: 194
Year: 2013-07-10
This IBM® Redbooks® publication is intended for business leaders and IT architects who are responsible for building and extending their data warehouse and Business Intelligence infrastructure. It provides an overview of powerful new capabilities of Information Server in the areas of big data, statistical models, data governance and data quality. The book also provides key technical details that IT professionals can use in solution planning, design, and implementation.
Business Intelligence Certification Guide

Business Intelligence Certification Guide

Author: IBM Redbooks
Publisher: IBM
ISBN: 0738415111
Pages: 164
Year: 2000-01-01

InfoSphere DataStage for Enterprise XML Data Integration

InfoSphere DataStage for Enterprise XML Data Integration

Author: Chuck Ballard, Vinay Bhat, Shruti Choudhary, Ravi Ravindranath, Enrique Amavizca Ruiz, Aaron Titus, IBM Redbooks
Publisher: IBM Redbooks
ISBN: 0738436720
Pages: 404
Year: 2012-05-23
XML is one of the most common standards for the exchange of information. However, organizations find challenges in how to address the complexities of dealing with hierarchical data types, particularly as they scale to gigabytes and beyond. In this IBM® Redbooks® publication, we discuss and describe the new capabilities in IBM InfoSphere® DataStage® 8.5. These capabilities enable developers to more easily manage the design and processing requirements presented by the most challenging XML sources. Developers can use these capabilities to create powerful hierarchical transformations and to parse and compose XML data with high performance and scalability. Spanning both batch and real-time run times, these capabilities can be used to solve a broad range of business requirements. As part of the IBM InfoSphere Information Server 8.5 release, InfoSphere DataStage was enhanced with new hierarchical transformation capabilities called . XML Stage provides native XML schema support and powerful XML transformation functionality. These capabilities are based on a unique state-of-the-art technology that allows you to parse and compose any complex XML structure from and to a relational form, as well as to a separate hierarchical form. This book is targeted at an audience of systems designers and developers who focus on implementing XML integration support in their environments.
The Data Warehouse Lifecycle Toolkit

The Data Warehouse Lifecycle Toolkit

Author: Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, Bob Becker
Publisher: John Wiley & Sons
ISBN: 1118079566
Pages: 672
Year: 2011-03-08
A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.
A Practical Guide to Data Mining for Business and Industry

A Practical Guide to Data Mining for Business and Industry

Author: Andrea Ahlemeyer-Stubbe, Shirley Coleman
Publisher: John Wiley & Sons
ISBN: 1118763378
Pages: 328
Year: 2014-03-31
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.