Interactive Data Warehousing

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Interactive Data Warehousing

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Author : Harry Singh
language : en
Publisher: Prentice Hall
Release Date : 1999

Interactive Data Warehousing written by Harry Singh and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.

A step-by-step guide to building Web-enabled data warehouses fast, this title helps readers choose the best platforms, technologies, and security techniques. Other topics include CORBA and COM distributed object solutions, data marts, data mining, and OLAP.

Encyclopedia Of Data Warehousing And Mining

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Author : John Wang
language : en
Publisher: IGI Global Snippet
Release Date : 2009

Encyclopedia Of Data Warehousing And Mining written by John Wang and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Business & Economics categories.

"This set offers thorough examination of the issues of importance in the rapidly changing field of data warehousing and mining"--Provided by publisher.

Data Warehouse Essentials

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Author : Virversity Online Courses
language : en
Publisher: eBookIt.com
Release Date : 2025-03-26

Data Warehouse Essentials written by Virversity Online Courses and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.

Data Warehouse Essentials is a comprehensive course designed to empower individuals with a robust understanding of data warehousing concepts, architecture, and best practices. Whether you're an aspiring data professional or looking to improve your data management skills, this course provides the essential knowledge needed to design, implement, and optimize a data warehouse effectively. Master the Fundamentals of Data Warehousing Understand core data warehousing concepts and their importance in modern data management. Gain insights into key architectural components and design considerations. Learn data modeling techniques, including ER models and star schemas. Explore the essentials of ETL processes and integrating multiple data sources. Discover popular data warehousing tools and technologies. Develop skills for querying, reporting, and optimizing data warehouse performance. Ensure security, compliance, and governance in data warehousing. Identify the relationship between big data and data warehouses. Comprehensive Guide to Data Warehousing Concepts and Techniques This course begins with an introduction to data warehousing, providing an overview of its fundamental concepts, highlighting the significant impact they have in today's data-driven decision-making processes. Students will delve into the architecture of data warehouses, examining key components and the various design considerations crucial for creating efficient systems. As learners progress, they will explore data modeling techniques, including Entity-Relationship (ER) models and star schemas, which are integral for organizing and structuring data within a warehouse. The course further covers essential ETL (Extract, Transform, Load) procedures necessary for data integration and cleansing, ensuring a smooth and accurate data flow into the warehouse. The practical skills taught extend to the use of popular data warehousing tools and technologies, aiding students in navigating the current technology landscape. Additionally, the course addresses the critical areas of querying and reporting, providing techniques for effective data analysis and visualization. Individuals will gain insights into performance optimization strategies, essential for maintaining the efficiency and speed of data warehouse operations. Furthermore, the course emphasizes security and data governance, critical for ensuring that data warehouses meet compliance requirements and remain secure. Finally, participants will explore the dynamic interaction between big data and data warehousing, equipping them with the knowledge to handle modern data complexities effectively. By the end of the course, students will transform their data management capabilities, becoming proficient in designing and managing robust data warehouses that support strategic business objectives.

Data Warehousing And Knowledge Discovery

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Author :
language : en
Publisher:
Release Date : 2005

Data Warehousing And Knowledge Discovery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.

Modern Data Warehousing Mining And Visualization

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Author : George M. Marakas
language : en
Publisher:
Release Date : 2003

Modern Data Warehousing Mining And Visualization written by George M. Marakas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.

For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises using an included fully-enabled, but time-limited version of Megaputer's PolyAnalyst and TextAnalyst data mining and visualization software give students hands-on experience with real-world applications.

Data Warehousing And Mining

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Author :
language : en
Publisher:
Release Date : 2008

Data Warehousing And Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.

"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.

Data Warehousing

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Author : Harry Singh
language : en
Publisher: Prentice Hall
Release Date : 1998

Data Warehousing written by Harry Singh and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

"Every organization today is overflowing with data, records, and files. The smart ones are restructuring this hidden treasure into accessible, reconciled data warehouses. Data Warehousing gives you all the necessary tools to work this transformation on your archives so you can build and manage a successful data warehouse." "Data Warehousing is intended to provide practical guidance for users who are familiar with database technologies and client/server architectures, but it is not based on any specific hardware or software. A full bibliography and glossary help bridge the gap to familiarize users with technology and terms."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Data Warehousing And Mining

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Author : John Wang
language : en
Publisher:
Release Date : 2008

Data Warehousing And Mining written by John Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.

"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.

Data Warehouse Design Modern Principles And Methodologies

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Author : Matteo Golfarelli
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-05-26

Data Warehouse Design Modern Principles And Methodologies written by Matteo Golfarelli and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-26 with Computers categories.

Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy "A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University

Lineage Tracing In Data Warehouses

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Author : Yingwei Cui
language : en
Publisher:
Release Date : 2001

Lineage Tracing In Data Warehouses written by Yingwei Cui and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.