Data Warehouse Performance

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Data Warehouse Performance

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Author : W. H. Inmon
language : en
Publisher:
Release Date : 1998-11-13

Data Warehouse Performance 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 1998-11-13 with Computers categories.

Reduce operating and maintenance costs while substantially improving the performance of new and existing data warehouses and data marts Data Warehouse Performance This book tells you what you need to know to design, build, and manage data warehouses and data marts for optimum performance. Written by an all-star team of data warehouse pioneers and innovators-including Bill Inmon, "the father of the data warehouse," and Ken Rudin, one of the leading experts on performance-the book describes the layers of a high-performance data warehouse environment and guides the reader through their implementation and management. It also supplies proven techniques for supercharging the performance of existing environments. Crucial topics covered include: * Mitigating the impact of dormant data on performance * Data cleansing and implementation techniques * Implementing platform components like data marts to support scalability * Database design, sizing, and optimization techniques, including star schema and indexing * Hardware assessment, selection, and sizing * The role of monitors in balancing workload and assessing performance * Creating a service management contract to meet user expectations

Simple Strategies To Improve Data Warehouse Performance

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Author :
language : en
Publisher:
Release Date : 2004

Simple Strategies To Improve Data Warehouse Performance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Data warehouse management is fast becoming one of the most popular and important topics in industries today. For business executives, it promises significant competitive advantage for their companies, while presenting the information system managers a way to overcome the obstructions in providing business information to managers and other users. Here the company is going through the problem of inefficient performance of its data warehouse. To find an appropriate solution to this problem we first try to understand the data warehouse concept and its basic architecture, followed by an in depth study of the company data warehouse and the various issues affecting it. We propose and evaluate a set of solutions including classification of suppliers, implementing corporate commodity classification and coding system, obtaining level three spend details for PCard purchases, etc. The experimental results show considerable improvement in the data quality and the data warehouse performance. We further support these recommendations by evaluating the return on investment for improved quality data. Lastly, we discuss the future scope and other possible improvement techniques for obtaining better results.

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.

Simple Strategies To Improve Data Warehouse Performance

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Author : Reena Mathews
language : en
Publisher:
Release Date : 2004

Simple Strategies To Improve Data Warehouse Performance written by Reena Mathews and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Keywords: Data warehouse concepts, commodity classification, data warehouse architecture.

Data Warehousing Fundamentals

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Author : Paulraj Ponniah
language : en
Publisher: John Wiley & Sons
Release Date : 2004-04-07

Data Warehousing Fundamentals written by Paulraj Ponniah 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 2004-04-07 with Computers categories.

Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.

Exam Ref 70 535 Architecting Microsoft Azure Solutions

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Author : Haishi Bai
language : en
Publisher: Microsoft Press
Release Date : 2018-06-04

Exam Ref 70 535 Architecting Microsoft Azure Solutions written by Haishi Bai and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-04 with Computers categories.

Prepare for Microsoft Exam 70-535–and help demonstrate your real-world mastery of architecting complete cloud solutions on the Microsoft Azure platform. Designed for architects and other cloud professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design compute infrastructure Design data implementation Design networking implementation Design security and identity solutions Design solutions by using platform services Design for operations This Microsoft Exam Ref: Organizes its coverage by exam skills Features strategic, what-if scenarios to challenge you Includes DevOps and hybrid technologies and scenarios Assumes you have experience building infrastructure and applications on the Microsoft Azure platform, and understand the services it offers

Computerworld

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Author :
language : en
Publisher:
Release Date : 1997-04-21

Computerworld written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-21 with categories.

For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.

Data Mining Data Warehousing And Client Server Databases

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Author : Brian Siu
language : en
Publisher: Springer
Release Date : 1997-12

Data Mining Data Warehousing And Client Server Databases written by Brian Siu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-12 with Computers categories.

The 8th International Database Workshop, organized by the Hong Kong Computer Society and held in Hong Kong in July 1997, dedicated its theme to Data Mining, Data Warehouse and Client/Server Databases with separate focuses on the Academic and the Industrial Streams. It brought together database practitioners, researchers and vendors to share and explore their methodologies and experiences of advance database systems. These proceedings contain 22 of the selected papers received for the section on the Industrial Stream, written by database vendors and consultants from 14 countries around the world. It will serve as a useful and practical technology reference book on the latest findings in the field.

Database Administration

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Author : Craig Mullins
language : en
Publisher: Addison-Wesley Professional
Release Date : 2002

Database Administration written by Craig Mullins 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 2002 with Computers categories.

Giving comprehensive, soup-to-nuts coverage of database administration, this guide is written from a platform-independent viewpoint, emphasizing best practices.

Corporate Information Factory

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Author : W. H. Inmon
language : en
Publisher: John Wiley & Sons
Release Date : 2002-03-14

Corporate Information Factory written by W. H. Inmon 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 2002-03-14 with Computers categories.

The "father of data warehousing" incorporates the latesttechnologies into his blueprint for integrated decision supportsystems Today's corporate IT and data warehouse managers are required tomake a small army of technologies work together to ensure fast andaccurate information for business managers. Bill Inmon created theCorporate Information Factory to solve the needs ofthese managers. Since the First Edition, the design of the factoryhas grown and changed dramatically. This Second Edition, revisedand expanded by 40% with five new chapters, incorporates thesechanges. This step-by-step guide will enable readers to connecttheir legacy systems with the data warehouse and deal with a hostof new and changing technologies, including Web access mechanisms,e-commerce systems, ERP (Enterprise Resource Planning) systems. Thebook also looks closely at exploration and data mining servers foranalyzing customer behavior and departmental data marts forfinance, sales, and marketing.