Author: Rajiv Parida
Publisher: Firewall Media
ISBN: 9788170088516
Category :
Languages : en
Pages : 528
Book Description
Principles & Implementation of Datawarehousing
Author: Rajiv Parida
Publisher: Firewall Media
ISBN: 9788170088516
Category :
Languages : en
Pages : 528
Book Description
Publisher: Firewall Media
ISBN: 9788170088516
Category :
Languages : en
Pages : 528
Book Description
Data Warehouse Systems
Author: Alejandro Vaisman
Publisher: Springer Nature
ISBN: 366265167X
Category : Computers
Languages : en
Pages : 696
Book Description
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.
Publisher: Springer Nature
ISBN: 366265167X
Category : Computers
Languages : en
Pages : 696
Book Description
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.
Strategic Data Warehousing Principles Using SAS Software
Author: Peter R. Welbrock
Publisher:
ISBN: 9781580251518
Category : Data warehousing
Languages : en
Pages : 0
Book Description
What is the key to a successful data warehouse? Strategy, design, implementation! This book skillfully provides a conceptual and working model of a successful data warehouse process that is developed by using SAS software. Written for both the business and technical sides of the house, Welbrock supplies real-life experience with data warehousing, not a theoretical approach. This book delivers the following three-phase strategy for building a data warehouse: 1) Build a conceptual data warehouse that contains metadata about the business elements that are documented in the conceptual warehouse into a technological lexicon. 3) Implement the physical data warehouse. Topics discussed that support the data warehousing process are data modeling, data transformation, multi-dimensional databases, data extraction and storage, warehouse loading, client/server, and SAS/Warehouse Administrator. The Strategy for designing your effective data warehouse is found in these pages!
Publisher:
ISBN: 9781580251518
Category : Data warehousing
Languages : en
Pages : 0
Book Description
What is the key to a successful data warehouse? Strategy, design, implementation! This book skillfully provides a conceptual and working model of a successful data warehouse process that is developed by using SAS software. Written for both the business and technical sides of the house, Welbrock supplies real-life experience with data warehousing, not a theoretical approach. This book delivers the following three-phase strategy for building a data warehouse: 1) Build a conceptual data warehouse that contains metadata about the business elements that are documented in the conceptual warehouse into a technological lexicon. 3) Implement the physical data warehouse. Topics discussed that support the data warehousing process are data modeling, data transformation, multi-dimensional databases, data extraction and storage, warehouse loading, client/server, and SAS/Warehouse Administrator. The Strategy for designing your effective data warehouse is found in these pages!
Data Warehousing Fundamentals
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
ISBN: 0471463892
Category : Computers
Languages : en
Pages : 544
Book Description
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.
Publisher: John Wiley & Sons
ISBN: 0471463892
Category : Computers
Languages : en
Pages : 544
Book Description
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.
Data Mining and Data Warehousing
Author: Parteek Bhatia
Publisher: Cambridge University Press
ISBN: 110858585X
Category : Computers
Languages : en
Pages : 514
Book Description
Written in lucid language, this valuable textbook 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 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. 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. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.
Publisher: Cambridge University Press
ISBN: 110858585X
Category : Computers
Languages : en
Pages : 514
Book Description
Written in lucid language, this valuable textbook 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 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. 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. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.
Principle of Data warehousing
Author: Dr. Sulbha Gath
Publisher: Academic Guru Publishing House
ISBN: 8197305021
Category : Study Aids
Languages : en
Pages : 212
Book Description
"Principles of Data Warehousing" is an extensive and reputable book that explores the fundamental ideas, techniques, and industry best practices necessary for developing, overseeing, and refining data warehousing systems. This book is a must-have for anybody looking to learn more about data warehousing or improve their skills in the industry, since it is written by well-known specialists in the subject. The book commences by laying a robust groundwork through a comprehensive examination of the core principles and concepts of data warehousing. This enables readers to gain a clear knowledge of the objectives, advantages, and constituent elements of the system. Subsequently, the course delves into comprehensive subjects including data governance, analysis of dimensions, data modelling, ETL (Extract, Transform, Load) procedures, and data integration. Every chapter has been carefully designed to offer a combination of theoretical understanding and practical advice, thereby simplifying and rendering realistic intricate concepts. The text provides readers with practical exercises, examples that intersperse practical applications of the explored principles and facilitate experiential learning, thereby enhancing their comprehension. Furthermore, it addresses contemporary challenges including big data integration, cloud-based data warehousing, as well as real-time analytics, while "Principles of Data Warehousing" remains abreast of the most recent developments and trends in the region. The book empowers readers with the necessary knowledge and abilities to adeptly and confidently navigate the dynamic realm of data management by ensuring they remain updated on emergent technologies as well as methodologies. "Principles of Data Warehousing" is an essential resource for individuals embracing the art and science regarding data warehousing, including data architects, business analysts, database administrators, and those aspiring to become data professionals. This book equips readers with the ability to develop, execute, and enhance data warehousing solutions which generate value, understanding, and innovation for businesses of all sizes and in all sectors, through its extensive examination, pragmatic advice, and focus on fundamental principles.
Publisher: Academic Guru Publishing House
ISBN: 8197305021
Category : Study Aids
Languages : en
Pages : 212
Book Description
"Principles of Data Warehousing" is an extensive and reputable book that explores the fundamental ideas, techniques, and industry best practices necessary for developing, overseeing, and refining data warehousing systems. This book is a must-have for anybody looking to learn more about data warehousing or improve their skills in the industry, since it is written by well-known specialists in the subject. The book commences by laying a robust groundwork through a comprehensive examination of the core principles and concepts of data warehousing. This enables readers to gain a clear knowledge of the objectives, advantages, and constituent elements of the system. Subsequently, the course delves into comprehensive subjects including data governance, analysis of dimensions, data modelling, ETL (Extract, Transform, Load) procedures, and data integration. Every chapter has been carefully designed to offer a combination of theoretical understanding and practical advice, thereby simplifying and rendering realistic intricate concepts. The text provides readers with practical exercises, examples that intersperse practical applications of the explored principles and facilitate experiential learning, thereby enhancing their comprehension. Furthermore, it addresses contemporary challenges including big data integration, cloud-based data warehousing, as well as real-time analytics, while "Principles of Data Warehousing" remains abreast of the most recent developments and trends in the region. The book empowers readers with the necessary knowledge and abilities to adeptly and confidently navigate the dynamic realm of data management by ensuring they remain updated on emergent technologies as well as methodologies. "Principles of Data Warehousing" is an essential resource for individuals embracing the art and science regarding data warehousing, including data architects, business analysts, database administrators, and those aspiring to become data professionals. This book equips readers with the ability to develop, execute, and enhance data warehousing solutions which generate value, understanding, and innovation for businesses of all sizes and in all sectors, through its extensive examination, pragmatic advice, and focus on fundamental principles.
Data Warehousing
Author: Mark Humphries
Publisher: Prentice Hall Professional
ISBN: 9780130809025
Category : Computers
Languages : en
Pages : 384
Book Description
PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE
Publisher: Prentice Hall Professional
ISBN: 9780130809025
Category : Computers
Languages : en
Pages : 384
Book Description
PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE
Principles of Database Management
Author: Wilfried Lemahieu
Publisher: Cambridge University Press
ISBN: 1107186129
Category : Computers
Languages : en
Pages : 817
Book Description
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Publisher: Cambridge University Press
ISBN: 1107186129
Category : Computers
Languages : en
Pages : 817
Book Description
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Principles of Data Integration
Author: AnHai Doan
Publisher: Elsevier
ISBN: 0123914795
Category : Computers
Languages : en
Pages : 522
Book Description
Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. - Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand - Enables you to build your own algorithms and implement your own data integration applications
Publisher: Elsevier
ISBN: 0123914795
Category : Computers
Languages : en
Pages : 522
Book Description
Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. - Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand - Enables you to build your own algorithms and implement your own data integration applications
Principles and Applications of Business Intelligence Research
Author: Herschel, Richard T.
Publisher: IGI Global
ISBN: 146662681X
Category : Computers
Languages : en
Pages : 358
Book Description
"This book provides the latest ideas and research on advancing the understanding and implementation of business intelligence within organizations"--Provided by publisher.
Publisher: IGI Global
ISBN: 146662681X
Category : Computers
Languages : en
Pages : 358
Book Description
"This book provides the latest ideas and research on advancing the understanding and implementation of business intelligence within organizations"--Provided by publisher.