Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

Take your data warehousing and business intelligence to the next level with this practical guide to Oracle Database 11g. Packed with illustrations, tips, and examples, it has over 80 advanced recipes to fine-tune your skills and knowledge.Full of illustrations, diagrams, and tips with clear step-by-step instructions and real time examples to perform key steps and functions on your projectPractical ways to estimate the effort of a data warehouse solution based on a standard work breakdown structure.Learn to effectively turn the project from development to a live solutionBest practices to create a blueprint for the business intelligence solutionIn DetailOracle Database 11g is a comprehensive database platform for data warehousing and business intelligence that combines industry-leading scalability and performance, deeply-integrated analytics, and embedded integration and data-quality all in a single platform running on a reliable, low-cost grid infrastructure. This book steps through the lifecycle of building a data warehouse with key tips and techniques along the way.Business Intelligence: A Project Lifecycle Approach Using Oracle Technology Cookbook outlines the key ways to effectively use Oracle technology to deliver your business intelligence solution. This is a practical guide starting with key recipes for project management then moving onto project delivery.Business Intelligence: A Project Lifecycle Approach Using Oracle Technology Cookbook is a practical guide for performing key steps and functions on your project.This book starts with setting the foundation for a highly repeatable efficient project management approach by assessing your current methodology to see how suitable it is for a business intelligence program. We also learn to set up the project delivery phases to consistently estimate the effort for a project. Along the way we learn to create blueprints for the business intelligence solution that help to connect and map out the destination of the solution. We then move on to analyze requirements, sources, and data. Finally we learn to secure the data as it is an important asset within the organization and needs to be secured efficiently and effectively.