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Future Directions in DOLAP Research - DOLAP 04 Panel -

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.)

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Future Directions in DOLAP Research - DOLAP 04 Panel -

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  1. Future Directions in DOLAP Research- DOLAP 04 Panel - Matteo Golfarelli DEIS – University of Bologna DOLAP 04

  2. 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!

  3. 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

  4. 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

  5. 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

  6. 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

  7. New applications and challenges IV • Complex Data Types applications • Spatial DWs • Web data DW • … • Challenges • Design issues: modeling complex data • Operational issues: tracing data sources on the web • …

  8. 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

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