Framework for developing a meteorological data warehouse : from concept to design

Development of Data warehousing was initiated in the 1980s by Paul Murphy and Barry Devlin (IBM) however the term was coined by Bill Inmon in the year 1990. A data warehouse is a storage of wide-ranging data sources and data mining is the assessment process so that the decision-making process is powered. In this book we will cover the elementary concepts and development phases of data warehousing and data mining to scrutinize how these can be utilized for meteorological data exploration for precise decision-making at any juncture of natural disasters predicting weathers data accumulation data processing to disseminating the substantial amount of data and necessary information. The book also presents a virtuous blend of scheduling algorithms machine learning database management (DBMS) and optimization tools to encounter the challenges to capture and push data.