- 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.
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-realtime 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,
realtime
data warehouses, GIS/location-based services, biomedical data,
integration of
semi-structured and unstructured data, security/privacy and quality
management.
Like the previous successful DOLAP workshops, the DOLAP 2010 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.
