- October 26: Program is available.
- July 26, 2014: The paper submission
deadline has been extended to August 3!
- June 30, 2014: A selection of DOLAPí14 best papers will be
recommended for inclusion in a special issue of Information
- June 13, 2014: The DOLAP 2014
website is up.
Data Warehouse (DW) and Online
Analytical Processing (OLAP) technologies are the core of current Decision
Support Systems. Traditionally, a data warehouse has been a historical (and
relatively static) repository of data collected from a wide variety of
heterogeneous data sources by means of Extraction-Transformation-Loading
(ETL) processes. The widespread deployment of both DWs and OLAP
technologies is due to the intuitive representation of data provided to
data analysts or managers in support of management decisions. Recently, the
trend is that DWs become more and more dynamic, with near-real-time
updates, and include more complex types of data.
Research in data warehousing and OLAP
has produced important technologies for the design, management and use of
information systems for decision support. Much of the interest and success
in this area can be attributed to the need for software and tools to
improve data management and analysis given the large amounts of information
that are being accumulated in corporate as well as scientific databases.
Nevertheless, the high maturity of these technologies as well as new data
needs or applications not only demand more capacity or storing necessities,
but also new methods, models, techniques or architectures to satisfy these
new needs. Some of the hot topics in data warehouse research include
distributed data warehouses, web warehouses, data streams, real-time data
warehouses, GIS/location-based services, biomedical data, integration of
semi-structured and unstructured data, security/privacy and quality
Like the previous successful DOLAP workshops, the DOLAP 2014 workshop aims to synergistically connect the research community and
industry practitioners. It provides an international forum where both
researchers and practitioners can share their findings in theoretical
foundations, current methodologies, and practical experiences. DOLAP will
focus on new research directions and emerging applications in DW &
OLAP. We are expanding the scope of DOLAP to include work in bridging
search engines and data warehouses.