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Future Directions in DOLAP Research - DOLAP 04 Panel - Matteo Golfarelli DEIS – University of Bologna DOLAP 04 My point of view… • Ten years of research in DWing and OLAP converged to define the structure of DW systems (architectures, models, design, algorithms, etc.) • These results have been absorbed by vendors to form a wide set of off-the-shelf software solutions • Users are now asking for new tools capable of handling new applications and requirements Let new applications drive our research! Considering new applications • Broaden the idea of DWing … – Not only multidimensional data…. – Not only extracted in batch mode and analyzed ONLINE by an expert user • …without renouncing to its basic concepts -“…Repository (data & metadata) that contains integrated, cleansed, and reconciled data from disparate sources for decision support applications….” - Information retrieval is not DWing! • Identify new applications – Collaborate with researchers and users in different fields (e.g. economics, life sciences, etc.) – Keep (present and future) technology advances into account New applications and challenges I • Data stream related applications – OLAP on data streams – Mining on data streams – Alerting on data streams • Challenges – Architectural issues: adding a real-time integrator and a main-memory DBMS – Physical issues: Structures and indexing techniques for real-time OLAP – Operational issues: mining algorithms, real-time ETL New applications and challenges II • KPI related applications – – – – Simulations and WHAT IF analysis on complex KPI graph Mining KPI patterns Alerting on KPI BPM • Challenges – Architectural issues: reactive module for handling right-time updates, Alerting and KPI monitor – Design issues: methodologies and models for designing data and processes – Interface issues: Consider new paradigms for information delivery – Operational issues: right-time ETL New applications and challenges III • DW in life sciences – Proteins and genome DWs – Mining on proteins and genome DWs • Challenges – Architectural issues: Distributed/federated DWs or P2P DWs – Interface issues: Complex outputs showing structural protein and genoma relationships – Operational issues: ETL on non-relational, strongly heterogeneous DB New applications and challengesIV • Complex Data Types applications – Spatial DWs – Web data DW – … • Challenges – Design issues: modeling complex data – Operational issues: tracing data sources on the web – … Conclusions • Classic DW applications and related issues have been almost completely explored, but… • … the DWing germ infected the users that are asking for new applications • A lot of work is still necessary in the DW field if we accept to broaden the idea of DWing