Data Warehouses

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Data Warehousing 101

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Author : Arshad Khan
language : en
Publisher: iUniverse
Release Date : 2003

Data Warehousing 101 written by Arshad Khan and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.

Data Warehousing 101: Concepts and Implementation will appeal to those planning data warehouse projects, senior executives, project managers, and project implementation team members. It will also be useful to functional managers, business analysts, developers, power users, and end-users. Data Warehousing 101: Concepts and Implementation, which can be used as a textbook in an introductory data warehouse course, can also be used as a supplemental text in IT courses that cover the subject of data warehousing. Data Warehousing 101: Concepts and Implementation reviews the evolution of data warehousing and its growth drivers, process and architecture, data warehouse characteristics and design, data marts, multi-dimensionality, and OLAP. It also shows how to plan a data warehouse project as well as build and operate data warehouses. Data Warehousing 101: Concepts and Implementation also covers, in depth, common failure causes and mistakes and provides useful guidelines and tips for avoiding common mistakes.

Data Warehousing In Action

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Author : Sean Kelly
language : en
Publisher: John Wiley & Sons
Release Date : 1997-08-04

Data Warehousing In Action written by Sean Kelly and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-04 with Business & Economics categories.

Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have amassed vast amounts of data. Often this data becomes unwieldy and difficult to translate into anything useful. Data warehousing, storing all of this data in a system that allows for rapid retrieval of customized information, is the solution. This book, written by a data warehousing authority, is a step-by-step guide to creating and managing a data warehouse from start to finish, reviewing marketing, technology, and design issues.

Data Warehousing For Dummies

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Author : Thomas C. Hammergren
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-13

Data Warehousing For Dummies written by Thomas C. Hammergren and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-13 with Computers categories.

Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!

Building The Data Warehouse

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Author : W. H. Inmon
language : en
Publisher:
Release Date : 1996-04-10

Building The Data Warehouse written by W. H. Inmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-10 with Computers categories.

The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.

Data Warehouses And Olap Concepts Architectures And Solutions

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Author : Wrembel, Robert
language : en
Publisher: IGI Global
Release Date : 2006-10-31

Data Warehouses And Olap Concepts Architectures And Solutions written by Wrembel, Robert and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-31 with Computers categories.

"This book provides an insight into important research and technological problems, solutions, and development trends in the field of data warehousing and OLAP. It also serves as an up-to-date bibliography of published works for anyone interested in cutting-edge DW and OLAP issues"--Provided by publisher.

Data Warehousing In The Real World

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Author : Sam Anahory
language : en
Publisher: Addison-Wesley Professional
Release Date : 1997

Data Warehousing In The Real World written by Sam Anahory and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.

Data Warehouses are the primary means by which businesses can gain competitive advantage through analysing and using the information stored in their computerised systems. However, the Data Warehousing market is inundated with confusing, often contradictory, technical information from suppliers of hardware, databases and tools. Data Warehousing in the Real World provides comprehensive guidelines and techniques for the delivery of decision support solutions using open-systems Data Warehouses.Written by practitioners for practitioners Data Warehousing in the Real World describes each stage of the implementation process in detail: from project planning and requirements analysis, through architecture and design to administrative issues such as user access, security, back-up and recovery.Read this book to: - Learn the fundamentals of designing large-scale Data Warehouses using relational technology- Take advantage of product-independent comprehensive guidelines which cover all the issues you need to take into account when planning and building a Data Warehouse- Benefit from the authors' experience distilled into helpful hints and tips- Apply to your own situation with examples of real-life solutions taken from a variety of different business sectors- Make use of the templates for project-plans, system architectures and database designs provided in the appendixAbout the Authors: Sam Anahory is Director for Systems Integration at SHL Systemhouse (UK) where he runs their Data Warehousing practice, delivering Data Warehousing solutions to clients and managing the systems integration required. Prior to this, he built up and ran the Data Warehousing Practice for Oracle Corporation (UK).DennisMurray is a Principal consultant with Oracle Corporation (UK). While through being the Technical Architect for many Data Warehousing solutions, he has accumulated a vast amount of experience on a wide range of hardware platforms.Together they have collaborated on developing and giving training courses, workshops and presentations on the business and technical issues associated with delivering a Data Warehouse.

Fundamentals Of Data Warehouses

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Author : Matthias Jarke
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-11-26

Fundamentals Of Data Warehouses written by Matthias Jarke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-26 with Computers categories.

This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.

Advanced Data Warehouse Design

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Author : Elzbieta Malinowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-22

Advanced Data Warehouse Design written by Elzbieta Malinowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-22 with Computers categories.

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Data Warehousing And Analytics

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Author : David Taniar
language : en
Publisher: Springer Nature
Release Date : 2022-02-04

Data Warehousing And Analytics written by David Taniar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Computers categories.

This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics). This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.

Cloud Data Warehouses Demystified

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Author : Martin Hander
language : en
Publisher: Independently Published
Release Date : 2025-08-02

Cloud Data Warehouses Demystified written by Martin Hander and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.

What is a Data Warehouse? A data warehouse is a centralized system designed to store, manage, and analyze large volumes of structured data collected from various sources within an organization. Unlike traditional databases that are optimized for day-to-day operations (like processing customer orders or updating records), data warehouses are optimized for analytical processing-helping businesses make sense of their data, identify trends, and support better decision-making. Think of a data warehouse as the digital brain of an organization's information ecosystem. It integrates data from multiple systems-such as customer relationship management (CRM), finance, sales, logistics, or marketing-into a single source of truth. This unified view allows analysts, executives, and data scientists to ask complex questions like: Which products are performing best in different regions? How has customer behavior changed over time? What forecasts can we make based on historical trends? Key Characteristics of a Data Warehouse To understand what makes a data warehouse different from other data storage systems, it's essential to look at its core characteristics. These features define how a data warehouse functions and why it is uniquely suited for analytical tasks. Subject-Oriented A data warehouse is organized around key business subjects or domains-such as customers, sales, finance, or inventory-rather than around specific applications. This structure allows decision-makers to analyze data from a business perspective, making it easier to generate insights and answer high-level strategic questions. Example: Instead of storing data based on individual transactions, a subject-oriented warehouse might organize it by customer lifetime value, product performance, or regional sales trends. Integrated Data warehouses integrate data from various sources-often with differing formats, units, naming conventions, and data types-into a consistent, unified format. This integration ensures that data from different departments or systems (e.g., ERP, CRM, web analytics) can be analyzed together in a coherent way. Example: A customer's name might appear as "First Last" in one system and "Last, First" in another. A data warehouse standardizes these variations so that every occurrence of that customer is treated the same. Time-Variant Unlike operational systems that often only deal with current data, a data warehouse maintains historical data-sometimes spanning years. This time-oriented structure enables trend analysis, forecasting, and understanding how key metrics have evolved. Example: A business can compare this year's Q3 revenue with the last five years to detect seasonal patterns or long-term growth. Non-Volatile Once data is loaded into the data warehouse, it is not changed or deleted. This ensures data stability, allowing for consistent reporting over time. Users can rely on the fact that historical reports remain accurate even if the source data changes in real-time systems. Example: If a product was sold at a certain price in 2021, that price remains in the warehouse even if the price changes later. This preserves historical accuracy. Optimized for Query and Analysis Unlike transactional databases designed for fast inserts and updates, data warehouses are built for complex queries and analytics. They often include indexing, aggregation, and partitioning strategies that make it efficient to scan massive datasets. Example: A user can run a query to find the top 10 products by region over the last three years-something that would be slow or impractical in a transactional system.