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Data warehousing --- World Wide Web. --- Entrepôts de données (Informatique) --- Web
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" La mer, les collines, le rivage - plages et calanques. Marseille, en somme. Puis, avec la révolution industrielle, le train arrivant du Nord chercha le contact direct avec les bateaux. Ce fut la construction du port de la Joliette, à partir de 1844, des Docks à partir de 1858.Or aujourd'hui, à nouveau les Docks font l'événement. Comme en 1860 et comme en 1992 lors de leur première restauration. Inauguré - donc pour la troisième fois - le 4 décembre 2015, l'ancien entrepôt principal du port de Marseille est maintenant un lieu de vie, central dans la ville et la métropole. Situé juste en face des terrasses du port, à quelques pas du MuCem et du Vieux-Port, en plein cœur d'Euroméditerranée, les Docks assument une nouvelle jeunesse. Lieu de vie, de courses et de sorties, lieu de travail avec plus de 3 500 emplois, les Docks sont le bateau amiral du nouveau quartier. Ce petit livre écrit par mon ami Hugues Serraf, à la demande de Marc Pietri qui porta la nouvelle transformation, est le récit de cette vie qui se perpétue au travers des époques. "
Docks --- Patrimoine urbain --- Compagnie des docks et entrepôts de Marseille
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Harbors --- Ports --- Entrepôts. --- Warehouses --- Stockage. --- Storage --- Design and construction --- Conception et construction. --- Entrepôts.
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Warehouses --- Entrepôts --- Mediterranean Region --- Rome --- Méditerranée, Région de la --- Antiquities, Roman. --- Commerce --- Antiquités romaines --- History --- Histoire --- Entrepôts --- Méditerranée, Région de la --- Antiquités romaines
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Data warehousing --- Database design --- Entrepôts de données (Informatique) --- Bases de données --- Conception --- Entrepôts de données (Informatique) --- Bases de données --- Information systems
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Dover (England) --- -Commerce --- -History --- Entrepôt trade --- Entrepôt trade --- History --- Commerce --- History. --- Entrepôts (International trade) --- International trade --- Dover (Kent) --- Dubris (England)
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"This textbook is written to cater to the needs of undergraduate students of computer science, engineering, and information technology for a course on data mining and data warehousing. It brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models, and NoSQL are discussed in detail. Unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding" [Publisher]
681.3*H2 --- Data mining --- Data warehousing --- Exploration de données --- Entrepôts de données --- Exploration de données --- Entrepôts de données
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With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes "Fundamental Concepts" including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details "Implementation and Deployment," including physical design, ETL and data warehouse design methodologies. Part III covers "Advanced Topics" and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. "I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition." From the foreword by Panos Vassiliadis, University of Ioannina, Greece.
Information retrieval --- Office management --- Information systems --- Computer. Automation --- bedrijfssoftware --- bedrijfsautomatisering --- informatica --- bedrijfsadministratie --- informatiesystemen --- database management --- Data warehousing. --- Entrepôts de données (Informatique)