КНИГИ ПО АНАЛИЗУ ДАННЫХ
Mark Whitehorn, Mary Whitehorn
Business Intelligence: the IBM Solution
Datawarehousing and OLAP
Издательство: Springer
Цена: DM 120,00 (в мягкой обложке, с компакт-диском)
"Business Intelligence"
(Бизнес-разведка) является собирательным термином, относящимся к
процессам извлечения ценной бизнес-информации
из массы данных, существующей на любом предприятии.
В данной книге внимание сосредоточено на двух аспектах "Business Intelligence"
и соответствующих программных продуктах компании IBM:
1) хранение информации ("Data Warehousing") - Visual Warehouse (IBM);
2) анализ в реальном времени (OLAP "On-Line Analytical Processing") -
DB2 OLAP Server (IBM).
Разобрав понятие хранения информации ("Data Warehousing") и рассмотрев
задачи, которые решаются с его помощью, авторы показывают, как установить, проверить и
использовать эту программу, чтобы построить пример хранилища информации.
Попутно рассматриваются такие темы как
- преобразование данных (data transformation);
- расписания (scheduling);
- манипуляторы (business views);
- источники (sources).
Затем авторы переходят к глубокому рассмотрению OLAP. Они проводят читателя сквозь весь
процесс инсталляции, используя тестовые приложения, и демонстрируют, как
построить небольшой, но четко формализованный многомерный OLAP-куб.
Таким образом, если Вы - менеджер, испытывающий потребность в сведениях о хранении информации
и OLAP, или практик, которому надо научиться понимать и пользоваться этими
инструментами, то данная книга снабдит Вас всей информацией, необходимой для получения
максимальной отдачи от "Business Intelligence".
Contents:
- Acknowledgements
- Contents
- Introduction
- Who are you?
- What this book does
- Our approach
- Your previous experience
- So do you need this book?
- Disclaimer
- Backup
- Yo IBM (or `Nobody was ever fired for buying IBM')
- Versioning
- Who should you be?
- Chapter 1 Do you need Business Intelligence?
- Do you need Business Intelligence?
- What we think you have
- Problems addressed by Business Intelligence software
- So what is Business Intelligence?
- Visual Warehouse
- DB2 OLAP Server
- Terminology
- The ``proof of concept'' (POC) concept
- What do you need?
- Communications
- Overview
- What next?
- Chapter 2 Installation
- Where to install all the bits
- First steps
- Databases and connectivity
- Metadata
- Creating the control and target databases
- And...
- Finally...
- The installation
- Checking that everything is OK
- Recap/overview
- Chapter 3 Creating a data warehouse
- Overview of what you are about to do next
- Which data source to use?
- Building a test source
- Defining the target database for the warehouse
- Business Views
- Building a Business View
- Running a Business View
- Solving problem one
- Summary
- What do you do next?
- Chapter 4 Making a connection to the data warehouse
- Making a connection to the data warehouse
- Chapter 5 Business Views
- Your starting point
- Business Views
- Status
- Status summary
- Deleting your work
- Scheduling - why schedule?
- Time-based scheduling
- Testing a schedule
- Cascade scheduling
- Recap of the Business View story so far
- Chapter 6 More about Business Views
- Business Views are clever
- Business Views can act as sources for other
- Business Views
- Tree Views
- Editions
- Setting the number of editions
- Chapter 7 Business Views for data transformation
- Data transformation
- Creating a Business View to transform data
- Transformers
- Summary
- Subjects
- Visual Warehouse programs
- More summary
- Chapter 8 The Work in Progress Window
- The Work in Progress Window
- Status
- Work in Progress
- Log
- Progress
- Summary
- Chapter 9 Data from disparate sources
- Solving problem two
- What are we going to use for demonstration purposes?
- What do you need to know before we get started?
- Recap
- Fundamental information and recursion
- The practical bit
- Creating a source for the text file
- Creating a Business View to pull data together
- A totally different recap
- Potential problems
- Chapter 10 Security
- Security
- Chapter 11 DataGuide
- DataGuide a.k.a. Visual Warehouse Information Catalog
- So what is DataGuide?
- DataGuide components
- Where do we go from here?
- How do we move information about the contents of the data warehouse into DataGuide?
- Metadata
- Getting ready to export to DataGuide
- Exporting
- DataGuide Administrator
- How do we add associated objects?
- Creating an object
- Adding an object from outside the warehouse
- Looking for objects
- Help
- Further organizational controls
- A few other snippets
- Summary
- Chapter 12 Overview of Visual Warehouse components
- Visual Warehouse components
- Visual Warehouse Manager
- Visual Warehouse Agent
- Visual Warehouse Administration Client
- Data Warehouse Administrator
- Chapter 13 OLAP concepts and terminology
- OLAP concepts and terminology
- What does OLAP mean?
- Dimensions and members
- Developing a hierarchy
- What about more dimensions?
- A cubic perspective
- The database grows...
- Sparse and dense dimensions
- Data collection
- Why is this so important?
- Summary
- Chapter 14 Installing DB2 OLAP Server
- Setting the scene
- Before starting to install DB2 OLAP Server
- Installation
- Starting Essbase for the first time
- Post-installation tweaks
- Troubleshooting
- Progress
- Chapter 15 Using the ready-built samples
- Where you are
- Creating the samples
- Starting Essbase
- Running sample.exe
- Starting the Application Manager
- Outline Editor
- Viewing data
- Using Excel
- Help
- Recap
- Closing everything down
- Chapter 16 More about the Outline Editor
- Where you are
- More about the Outline Editor
- Dimension types
- Hierarchy descriptions
- Consolidation objects
- Formula objects
- What's next?
- Chapter 17 Creating your first cube
- Creating your first cube
- Creating an application
- Creating a database
- Creating an outline
- Adding consolidation objects
- Adding dimension types
- Saving an outline
- Adding data
- Recap
- Calculating data
- Checking the data is present
- DB2 tables
- Sparse and dense dimensions
- Recap
- Chapter 18 Data load rules
- Rules files
- Editing the outline
- Building a rules file
- Selecting records
- Validating a rules file
- Saving a rules file
- Loading data with a rules file
- Summary
- Solving problem three
- Chapter 19 Anchor dimensions and a few more concepts and pointers
- Anchor dimensions
- A few more concepts and pointers
- Dynamic calculations
- Partitioning
- Calculating size
- Calc Script Editor
- Reports
- Chapter 20 Visual Warehouse and DB2 OLAP Server symbiosis
- Bringing it all together
- Last words
- Appendix 1 Overviewof data warehousing
- Data warehouses
- Background
- Challenges
- Solutions
- Summary so far, plus some additional information
- Appendix 2 IBM's Business Intelligence solution
- Visual Warehouse & DB2 OLAP Server DataJoiner
- ETI*Extract
- Vality Integrity
- Intelligent Miner for Data
- Intelligent Miner for Text
- Net.Data
- DataPropagator Relational & DataPropagator NonRelational
- Data Refresher
- Appendix 3 The software. Sample files
- Appendix 4 Overview of data warehouse components
- Index
1999, 289 стр., ISBN 1-85233-085-6, на английском языке