Автор: Naveen Prakash; Deepika Prakash Название: Data Warehouse Requirements Engineering ISBN: 9811070180 ISBN-13(EAN): 9789811070181 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue.The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.
Автор: Mohanty S Название: Big Data Imperatives: Enterprise `big Data` Warehouse, `BI` ISBN: 1430248726 ISBN-13(EAN): 9781430248729 Издательство: Springer Рейтинг: Цена: 35360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The New Information Management Paradigm
Big Data's Implication for Businesses
Big Data Implications for Information Management
Defining Big Data Architecture Characteristics
Co-Existent Architectures
Data Quality for Big Data
Data Security and Privacy Considerations for Big Data
Big Data and Analytics
Big Data Implications for Practitioners
Автор: Silvers, Fon Название: Data Warehouse Designs ISBN: 1138374571 ISBN-13(EAN): 9781138374577 Издательство: Taylor&Francis Рейтинг: Цена: 56130.00 T Наличие на складе: Поставка под заказ. Описание: This book presents two data warehouse solutions that deliver significant ROI; market basket analysis, approached as a database design issue rather than a data model issue; and time variance or temporal data, which present past events in their historical context. The former is available to any enterprise with a data warehouse, while the latter provides a simple design that accommodates large data volumes. The text combines these two database designs into one design, which performs market basket analysis of transactions in their historical context.
Автор: Shaw Название: Practical Hive ISBN: 1484202724 ISBN-13(EAN): 9781484202722 Издательство: Springer Рейтинг: Цена: 35390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software.In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. What You Will LearnInstall and configure Hive for new and existing datasetsPerform DDL operationsExecute efficient DML operationsUse tables, partitions, buckets, and user-defined functionsDiscover performance tuning tips and Hive best practicesWho This Book Is ForDevelopers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL.
Автор: Alejandro Vaisman; Esteban Zim?nyi Название: Data Warehouse Systems ISBN: 3662513501 ISBN-13(EAN): 9783662513507 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book delivers extensive coverage of data warehousing and business intelligence technologies, from basic principles to recent applications. It illustrates how all concepts can be implemented using Microsoft Analysis Services and Pentaho Business Analytics.
Автор: Mundy Joy, Thornthwaite Warren, Kimball Ralph Название: The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset ISBN: 0470640383 ISBN-13(EAN): 9780470640388 Издательство: Wiley Рейтинг: Цена: 40120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The techniques pioneered by the Kimball Group have become the industry standard for data warehouse design, development, and management. In this new edition of the Microsoft Data Warehouse Toolkit, the authors share best practices for using these techniques in SQL Server 2008 R2 and Office 2010.
Автор: Inmon Bill, Srivastava Ranjeet Название: The Textual Warehouse ISBN: 163462954X ISBN-13(EAN): 9781634629546 Издательство: Gazelle Book Services Рейтинг: Цена: 22950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Build a Textual Warehouse to help your organization understand and analyze documents through text analytics (both sentiment and non-sentiment analysis), to make better business decisions.
Learn the important role of documents and text within your organization, the difference between identifying and qualifying text, and when you need document preprocessing. Appreciate the power of taxonomies and the necessity of textual ETL. Know how the textual warehouse architecture differs from the conventional data warehouse architecture and when to apply contextualization and textual disambiguation.
About Bill
Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession. Bill's latest adventure is the building of technology known as textual disambiguation.
About Ranjeet
Ranjeet Srivastava is a data management professional and an enterprise architect with more than 20 years in enterprise product research, development, and design of data-intensive mission-critical applications.
Автор: W. H. Inmon Название: Building the Data Warehouse, 4th Edition ISBN: 0764599445 ISBN-13(EAN): 9780764599446 Издательство: Wiley Рейтинг: Цена: 39070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Explains the fundamentals of data warehouse systems. This book covers topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media, and discusses the pros and cons of relational versus multidimensional design, and how to measure return on investment in planning data warehouse projects.
Автор: Griesemer, Bob Название: Oracle warehouse builder 11g r2 ISBN: 1849683441 ISBN-13(EAN): 9781849683449 Издательство: Неизвестно Рейтинг: Цена: 74780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Extract, Transform, and Load data to build a dynamic, operational data warehouse with Oracle Warehouse Builder 11g R2 with this book and eBook
Key Features
Build a working data warehouse from scratch with Oracle Warehouse Builder
Cover techniques in Extracting, Transforming, and Loading data into your data warehouse
Use a multi-dimensional design with an underlying relational star schema
This second edition covers great new features of 11gR2 such as the new user interface and a whole new chapter on code templates that implement knowledge module functionality from Oracle Data Integrator
Book Description
In today's economy, businesses and IT professionals cannot afford to lag behind the latest technologies. Data warehousing is a critical area to the success of many enterprises, and Oracle Warehouse Builder is a powerful tool for building data warehouses. It comes free with the latest version of the Oracle database.
Written in an accessible, informative, and focused manner, this book will teach you to use Oracle Warehouse Builder to build your data warehouse. Covering warehouse design, the import of source data, the ETL cycle and more, this book will have you up and running in next to no time. This book will walk you through the complete process of planning, building, and deploying a data warehouse using Oracle Warehouse Builder. By the book's end, you will have built your own data warehouse from scratch. Starting with the installation of the Oracle Database and Warehouse Builder software, this book then covers the analysis of source data, designing a data warehouse, and extracting, transforming, and loading data from the source system into the data warehouse. You'll follow the whole process with detailed screenshots of key steps along the way that have all been updated for the new Fusion Client Platform interface in 11gR2, alongside numerous tips and hints not covered by the official documentation. You'll finish up with a brand new chapter on code templates where you'll implement a complete mapping using JDBC connectivity and code template mappings.
What you will learn
Configure your Oracle database to communicate with a non-Oracle database using Oracle Heterogeneous Services
Build, view, and edit a cube and its dimensions, using Warehouse Builder Wizards and the Data Object Editor
Discover the underlying star schema relational structure that Warehouse Builder will build to implement your cube and dimensions
Recognize what a staging area is, and build a staging table and mapping to load it from SQL Server database tables
Master various operators for use in mappings, for the transformation and flow of data
Build and execute mappings to load dimensions and a cube using the Warehouse Builder Mapping Editor and Control Center Manager
Detailed explanation of the new interface in 11gR2
Implement JDBC connectivity to a remote database and access source data using a code template mapping
Автор: Vaisman, Alejandro Zimanyi, Esteban Название: Data warehouse systems ISBN: 3662651661 ISBN-13(EAN): 9783662651667 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With this textbook, Vaisman and Zim?nyi 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.
Автор: Matthias Jarke; Maurizio Lenzerini; Yannis Vassili Название: Fundamentals of Data Warehouses ISBN: 3642075649 ISBN-13(EAN): 9783642075643 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the first comparative review of the state of the art and the best current practices of data warehouses.
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