1. Database Research for the Current Millennium ICDE Panel 1 Apr 2004 Jayavel Shanmugasundaram Cornell University

2. Things that wont change Large databases –Biology –Astronomy –Personal information management (“Stuff I’ve Seen”) High-level query languages –Data independence

3. Things that will change Fixation on performance –Will “dumb down” implementations based on plentiful hardware – more emphasis on usability –Prediction: ICDE/SIGMOD/VLDB 2020 papers accepted without performance sections (!!!) Artificial boundaries in data management –Prime example: Structured vs. unstructured data –Boundary inherited from the previous millennium! Relational model and operators –Will be generalized to handle unstructured data –“Unified” data store

4. 10000 foot view of Data Management Structured Unstructured Complex and Structured Ranked Keyword Search Data Queries Database Systems Information Retrieval Systems

5. 10000 foot view of Data Management Structured Unstructured Complex and Structured Ranked Keyword Search Data Queries Database Systems Information Retrieval Systems

6. Applications Content management, PIM, life sciences, … Used car marketplace –Find all “bright red ford mustangs” that cost less than 20% of the average price of cars in its class Characteristics of queries –Keyword search (for ease of use) –Complex query operations (information synthesis) –Want to see ranked results!

7. Summary Shift towards “unified” data management –Example: structured and unstructured data Conventional arguments about performance degradation due to unification will not hold Feasible! –Initial steps –XRank (ranked keyword search over XML) –TeXQuery (query language for DB and IR)