Data Warehousing Fundamentals: A Comprehensive Guide for IT ProfessionalsGeared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. They'll also find a wealth of industry examples garnered from the author's 25 years of experience in designing and implementing databases and data warehouse applications for major corporations. Market: IT Professionals, Consultants. |
From inside the book
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Page xv
... Summary 285 ETL Tool Options 285 Reemphasizing ETL Metadata 286 ETL Summary and Approach 287 Chapter Summary 288 Review Questions 288 Exercises 289 13 Data Quality : A Key to Success Chapter Objectives 291 Why is Data Quality Critical ...
... Summary 285 ETL Tool Options 285 Reemphasizing ETL Metadata 286 ETL Summary and Approach 287 Chapter Summary 288 Review Questions 288 Exercises 289 13 Data Quality : A Key to Success Chapter Objectives 291 Why is Data Quality Critical ...
Page 368
... summary data available . Very large data volumes . All data access from the warehouse storage . Data stored as relational tables in the warehouse . Various summary data kept in proprietary databases ( MDDBs ) Moderate data volumes . Summary ...
... summary data available . Very large data volumes . All data access from the warehouse storage . Data stored as relational tables in the warehouse . Various summary data kept in proprietary databases ( MDDBs ) Moderate data volumes . Summary ...
Page 451
... Summary Levels As we have discussed several times , the data warehouse needs to contain both detailed and summary data . Select the levels of granularity for the purpose of optimizing the input - output operations . Let us say you keep ...
... Summary Levels As we have discussed several times , the data warehouse needs to contain both detailed and summary data . Select the levels of granularity for the purpose of optimizing the input - output operations . Let us say you keep ...
Contents
The Compelling Need for Data Warehousing | 1 |
The Building Blocks | 19 |
Review Questions | 37 |
Copyright | |
26 other sections not shown
Other editions - View all
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah Limited preview - 2004 |
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah No preview available - 2004 |
Common terms and phrases
aggregate algorithms analysis applications architecture attributes backup business dimensions changes cluster columns complex components create data cleansing data elements data extraction data loading data marts data mining data model data quality data sources data staging data structures data transformation data warehouse environment data warehouse project data warehousing database DBMS decision deployment dimension table dimensional model end-users example fact table Figure files functions incremental loads information delivery integrated interface marketing MDDB methods metrics MOLAP multidimensional OLAP system OLTP online analytical processing operational systems options package diagram performance physical model pilot platform primary key product dimension programs project team queries and reports records relational ROLAP selection server source data source systems specific staging area standards STAR schema strategic information summary techniques tion types usage users values vendors ware Web-enabled data warehouse