The book discusses how to build the data warehouse incrementally using the agile Data Vault 2. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, and is appropriate for self-study or classroom work.
This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases.
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 and customer relationship management.
Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Multidimensional Data Model Data Warehouse Architecture Components of Data Warehouse On-Line Analytical Processing Decision Support System Aggregation Backup and Recovery of Data For application and experiments, we focus on drug abuse events extraction from Twitter data and their modeling into the Event Data Warehouse.
Ferdaous, J. Ferdaous, Jenhani, and Mohamed Salah Gouider. It has been witnessed in recent years for the rising of Group recommender systems GRSs in most e-commerce and tourism applications like Booking. One of the most One of the most concerned problems in GRSs is to guarantee the fairness between users in a group so-called the consensus-driven group recommender system. This paper proposes a new flexible alternative that embeds a fuzzy measure to aggregation operators of consensus process to improve fairness of group recommendation and deals with group member interaction.
Choquet integral is used to build a fuzzy measure based on group member interactions and to seek a better fairness recommendation. The empirical results on the benchmark datasets show the incremental advances of the proposal for dealing with group member interactions and the issue of fairness in Consensus-driven GRS. Giap, C. View Full Table of Contents. This journal is a forum for state-of-the-art developments, research, and current This journal is published on a quarterly basis and is targeted at both academic researchers and practicing IT professionals as it is devoted to the publications of high-quality papers on theoretical developments and Each part goes into a tremendous amount of detail starting general and moving to the specific, detailing at least five long chapters within each section.
This section builds a tremendous foundation of warehousing technology by detailing hardware architectures, multiprocessing architectures, and RDBMS features and solutions. The second section, Data Warehousing, begins by detailing data warehousing components and the processes of building a data warehouse.
This section of the book details mapping the warehouse to the parallel processing architectures, selecting database schemas for decision support, the process of extracting, cleaning, and transforming data, and describes meta data as a key component of supporting the knowledge workers.
The chapters go into tremendous details, discussing tool requirements and offering a look at tool-by-tool vendor-based solutions. The Business Analysis section of this book begins by breaking reporting and query tools into categories including reporting tools, managed query tools, executive information system EIS tools, OLAP tools, and data mining tools.
The authors talk about the need for developing reporting applications and then discuss many of the most recognized reporting and querying tools on the market today. Chapter - 6. Subscribe to our newsletter and get information about our latest offers and prices. We have been in the industry for the last 25 years and are known for quality scholarly publications in Engineering, Pharmacy and Management books.
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