BIwTL: a business information warehouse toolkit and language for warehousing simplification and automation

Rapidly leveraging information analytics technologies to mine the mounting information in structured and unstructured forms, derive business insights and improve decision making is becoming increasingly critical to today's business successes. One of the key enablers of the analytics technologies is an Information Warehouse Management System (IWMS) that processes different types and forms of information, builds, and maintains the information warehouse (IW) effectively. Although traditional multi-dimensional data warehousing techniques, coupled with the well-known ETL processes (Extract, Transform, Load) may meet some of the requirements in an IWMS, in general, they fall short on several major

• Type: Conference
• Year: 2007
• Where: SIGMOD
• Authors: Bin He, Rui Wang, Ying Chen, Ana Lelescu, James Rhodes
• Keywords: Database, Information Analytics Technologies, Information Warehouse Management, SIGMOD 2007, Well-known Etl Processes