Extraction, Transformation and Loading Process in the Cloud Computing Scenario

-Business Intelligence strategies often need real-time BI and analytics. For this purpose, BI systems focus on data management as a whole and good data and information quality in particular to achieve data consistency and referential integrity across distributed systems. Generating key performance indicators (KPI) of business intelligence might require incorporating the semantic approach of data integration to achieve the consistent and sustainable semantic decisions. So this paper deals with how to improve data and information quality by adopting Extraction-Transformation-Loading (ETL) and Extraction-Loading-Transformation processes towards generating structured data and semantic data with quality towards improving inference capabilities and generating semantic knowledge base for the business domain ontology. However this research did not consider dealing with dynamic or real-time data quality and their role towards producing better business intelligence