DOLAP 2014 - International Workshop On Data Warehousing and OLAP

DOLAP accepts submissions on data warehousing in a broad sense from both universities and industry. We are expanding topics to include work that bridges data warehousing and other large scale data processing platforms. This year, we encourage submissions from industry data warehouse technology developers describing technical details about their products as well as companies exploiting data warehousing technology describing case studies, experiences and technology limitations. A selection of best papers will be recommended for inclusion in a special issue of a high-quality international journal.
Research topics include, but are not limited to:
Data warehousing foundations and architectures
Data warehouse Modelling and Design
Maintenance and evolution of data warehouses
Software Engineering techniques for DW and OLAP
Security, personalization and privacy in data warehouses
Data extraction, cleaning, and loading(ETL)
Active/Real-Time data warehouses
Multidimensional modeling and queries
Metadata management
Physical organization of data warehouses
Performance optimization and tuning
Data warehousing with unstructured data (e.g., text) and semi-structured data (e.g., XML)
Multimedia data warehouses
Data warehouses in Scientific Applications
Spatial, temporal, and spatio-temporal data warehouses
Integration of OLAP and information retrieval/search engines
Integration of data warehouses/OLAP and data mining
Warehousing stream and sensor data
OLAP on Documents -Keyword search in Data Warehouses
Workflows in Data warehouses
Semantic Web & Deep Web in Data warehouses
Using MapReduce in Data warehouses
SQL Vs MapReduce for Analytical Processing
DW Deployment (Parallel machine, Database Clusters, Cloud, etc.)
Data warehousing and OLAP for Big Data
Smart Grid & DW