Data Warehousing on Nonconventional Data

Rafael Berlanga Llavori

Abstract: Non-conventional data are any kind of data that are useful for business intelligence (BI) but that cannot be directly managed with traditional data warehousing (DW) technology. Non-conventional data cover a great variety of user-generated contents such as domain knowledge, corporate documents like contracts and e-mails, news feeds, messages posted on social media, and so on. Non-conventional data sources have in common a semi-structured, dynamic, and text-rich nature, which make difficult their integration within traditional corporate information systems (including data warehouses). Nowadays, non-conventional data mainly reside in the Web, adopting the standard formats proposed by the World Wide Web Consortium (W3C), like HTML, XML, RSS, RDF, etc. This entry is focused on those approaches aimed to either integrate non-conventional data with traditional DW/OLAP or to perform ad hoc DW of these data sources. This entry does not account for approaches that adopt Web languages...