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The Stanford Data Stream Management System

stanfordstreamdatamanager. 2. Formula for a Database Research Project. Pick a simple but fundamental assumption underlying traditional database systemsDrop itReconsider all aspects of data management and query processingMany Ph.D. thesesPrototype from scratch. stanfordstreamdatamanager. 3. Follo

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The Stanford Data Stream Management System

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    1. The Stanford Data Stream Management System Jennifer Widom Stanford University stanfordstreamdatamanager

    2. stanfordstreamdatamanager 2 Formula for a Database Research Project Pick a simple but fundamental assumption underlying traditional database systems Drop it Reconsider all aspects of data management and query processing Many Ph.D. theses Prototype from scratch

    3. stanfordstreamdatamanager 3 Following the Formula Dropped assumption (LORE Project): Data has a fixed schema declared in advance Dropped assumption (TRIO Project): All data is accurate, consistent, and complete Dropped assumption (STREAM Project) First load data, then index it, then run queries Continuous data streams Continuous queries

    4. stanfordstreamdatamanager 4 Data Streams Continuous, unbounded, rapid, time-varying streams of data elements Occur in a variety of modern applications Network monitoring and traffic engineering Sensor networks, RFID tags Telecom call records Financial applications Web logs and click-streams Manufacturing processes DSMS = Data Stream Management System

    5. stanfordstreamdatamanager 5 DBMS versus DSMS Persistent relations One-time queries Random access Access plan determined by query processor and physical DB design Transient streams (and persistent relations) Continuous queries Sequential access Unpredictable data characteristics and arrival patterns

    6. stanfordstreamdatamanager 6

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