Develop a custom, agile data warehousing and business intelligence architecture Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide. Understand the components of BI and data warehouse systems Establish project goals and implement an effective deployment plan Build accurate logical and physical enterprise data models Gain insight into your company's transactions with data mining Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques Use structured input files to define data requirements Employ top-down, bottom-up, and hybrid design methodologies Handle security and optimize performance using data governance tools Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.Unfortunately their data-capturing system for automobile types, makes, and models was completely manual and did not ... policy was indeed describing a FORD automobile, every use of this data item down the line within this organization was at risk. ... A data warehouse system typically expresses itself as BI to the end user, but a data warehouse system can or may focus only on ... A data warehouse that is not imminently and directly usable to the business may be part of a master dataanbsp;...
|Title||:||The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights|
|Publisher||:||McGraw Hill Professional - 2011-06-05|