A key book on data warehousing is W. H. Inmon's Building the Data Warehouse, a practical guide that was first published in 1990 and has been reprinted several times.

The main topics include an overview of databases, data warehouses and data mining technology, data warehousing and on line analytical process (OLAP), concept mining, association mining, classification ...

Data warehouses, which store data in a centralized and integrated manner using Extract, Transform, and Load (ETL) processes, are optimized for analytical queries and data mining on historical and ...

Fortunately, the technology sector has anted up new data warehousing and mining tools to provide assistance. Written by Scott Withrow, Contributor May 15, 2002 at 12:24 a.m. PT ...

Learn how to use data visualization to spot and remove duplicate data in data mining. Find out how to choose, prepare, visualize, and interpret your data.

Awesome. You learned how to collect and store Big Data. Now comes the fun part: mining that data for gold and then spinning that gold into compelling business stories that captivate and convince. In ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

MLDS 430: Data Visualization and Warehousing. This course is not currently offered. Description. The course provides a foundation for coupling the analytics and decision-making with the contexts of ...

Emerging Trends in Data Warehousing and Data. Time Series Data Mining; Time series-based data mining techniques help businesses to mine data to analyze periodic trends.

translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.