Book Detail :
English | ISBN: 1849685487 | 2012 | 368 pages | PDF | 9.60 MB
From Book Cover :
preface
Business intelligence and data warehousing projects can be challenging and complex. Dealing with new technologies, processes, and different stakeholders presents an array of potential problems. To aid the project manager, there are recipes about project definition, scope, control, and risk management. Requirements, design, data analysis, security, and data enhancing will help in guiding the technical project member.
The Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology book offers insight and real-world experience to assist you through the business intelligence and data warehouse lifecycle. Recipes from the first six chapters of this book, focus more on processes and practices to aid with the definition and management of the project. From Chapter 7, Architecture and Design onwards, this book provides more technical recipes for the business intelligence and data warehousing project.
What this book covers
Chapter 1, Defining a Program, assesses your current project delivery methodology to identify areas that may need enhancing to support your business intelligence initiative.
Chapter 2, Establishing the Project, reviews and enhances the project delivery phases in order to define a consistent set of work practices for the delivery of a successful project.
Chapter 3, Controlling the Project, focuses on communication and control, essential to a business intelligence project. Developing efficient and effective ways to do this is the key aim of this chapter.
Chapter 4, Wrapping Up the Project, focuses on business intelligence projects that continue for numerous iterations, understanding the information that needs to flow from project to project. Setting up ways to hand over that information is key to the long term success of the solution.
Chapter 5, The Blueprint, journeys a roadmap needed to guide one from the start to the destination, for a business intelligence and data warehouse solution.
Chapter 6, Analyzing the Requirements, talks of succinctly capturing and understanding the requirements of a project. Keeping requirements simple and providing transparency is key to demystifying the project for stakeholders.
Chapter 7, Architecture and Design, focuses on creating a successful foundation to interactively build your solution, which can save large amounts of time and money. Getting the basics right is the topic of this chapter.
Chapter 8, Analyzing the Sources, talks about identifying the right source with the most correct information, which is essential to the success of the project. Gaining a deeper understanding of your source systems will enable you to make intelligent decisions in determining which system contains the most accurate information for the subject area.
Chapter 9, Analyzing the Data, talks about how data profiling or data discovery can uncover a wealth of information. Identifying efficient ways and methods to interrogate information will unlock some of this wealth.
Chapter 10, Constructing the Data Model, talks about the Data Model, which is the key asset of the project. Understanding how to effectively design and develop this model enables organizations to reuse this asset many times.
Chapter 11, Defining the ETL/ELT, focuses on building an efficient framework and extraction, transformation, and loading routines, which leads to a simpler and easier-to-manage solution.
Chapter 12, Enhancing the Data, provides information about the data gaps normally existing within organizations. Once identified, effective means to capture and contribute information into the solution are required.
Chapter 13, Optimizing the Access, gives an insight into understanding the key technological capabilities within your reporting tool, allowing you to deliver information to your stakeholders in a meaningful and accurate way.
Chapter 14, Security, provides information on business intelligence and data warehouse solution security. This chapter focuses on showing you how to integrate common industrial security technology and requirements into your solution.
What you need for this book
This book covers the product suite from Oracle, to design and build a data warehouse.
The softwares that are needed to support the recipes are as follows:
- Oracle 11gR2 Enterprise Edition 11.2.0.2 or higher
- Oracle Business Intelligence Enterprise Edition 11.1.1.5
- Oracle Application Express 4.0.0 or higher
- Oracle SQL Developer 3.0 or higher
- Oracle Data Modeler 3.0 or higher
- Oracle Warehouse Builder 11GR2 11.2.0.2 Mega Patch 3
Additional products to support the project are as follows:
- Visual SVN
- Tortoise
- Office Suite
Who this book is for
If you are a project manager or IT professional looking to manage, design, and develop a data
warehouse and business intelligence solution, then this is the best guide for you.
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