- Aug 9, 2010: Workshop program is available.
- Aug 5, 2010: Accepted papers and camera-ready instructions.
- Jul 30, 2010: Notifications sent.
- May 24, 2010: Submission site open.
- May 21, 2010: Best papers will be recommended for Information Systems Journal.
- May 18, 2010: The DOLAP 2010 website is up.
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
repository of data collected from a wide variety of heterogeneous data
by means of Extraction-Transformation-Loading (ETL) processes. The
deployment of both DWs and OLAP technologies is due to the intuitive
representation of data provided to data analysts or managers in support
management decisions. Recently, the trend is that DWs become more and
dynamic, with near-realtime updates, and include more complex types of
in data warehousing and OLAP has produced important technologies for
design, management and use of information systems for decision support.
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
amounts of information that are being accumulated in corporate as well
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
satisfy these new needs. Some of the hot topics in data warehouse
include distributed data warehouses, web warehouses, data streams,
data warehouses, GIS/location-based services, biomedical data,
semi-structured and unstructured data, security/privacy and quality
Like the previous successful DOLAP workshops, the DOLAP 2010 workshop
synergistically connect the research community and industry
provides an international forum where both researchers and
share their findings in theoretical foundations, current methodologies,
practical experiences. DOLAP will focus on new research directions and
applications in DW & OLAP.
We are expanding the scope of DOLAP to include work in bridging search engines
and data warehouses.