1 / 13

CSE 636 Data Integration

CSE 636 Data Integration. Introduction. Staff. Instructor: Dr. Michalis Petropoulos Email: mpetropo@cse.buffalo.edu Location: 210 Bell Hall Office Hours: Wednesday & Friday 1:00-2:00pm & By Appointment Web Page http://www.cse.buffalo.edu/~mpetropo/CSE636-FA08/ Newsgroup

Download Presentation

CSE 636 Data Integration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CSE 636Data Integration Introduction

  2. Staff • Instructor: Dr. Michalis Petropoulos Email: mpetropo@cse.buffalo.edu Location: 210 Bell Hall Office Hours: Wednesday & Friday 1:00-2:00pm & By Appointment • Web Page http://www.cse.buffalo.edu/~mpetropo/CSE636-FA08/ • Newsgroup sunyab.cse.636

  3. Course Goals • Data integration applications and architectures • Issues in building such applications • Really big and currently active research area • Solutions to several of them • Provide foundation for • understanding current research problems • criticizing proposed solutions • proposing your own solution! • Acquire valuable experience by implementing the project

  4. Prerequisites • An introductory database course • CSE 520, CSE 562 or equivalent • Data structures and algorithms • Knowledge Representation • Distributed systems • Complexity theory • Mathematical Logic • Curiosity! • You should ask a lot of questions • Have a lot of fun!

  5. Relevant Material Textbooks • Database Systems: The Complete Book • by Garcia-Molina, Ullman and Widom • Database Management Systems • by Ramakrishnan • Fundamentals of Database Systems • by Elmasri and Navathe • Foundations of Databases • by Abiteboul, Hull and Vianu • Data on the Web • by Abiteboul, Buneman and Suciu

  6. Course Format • Assignments: 15% • Three assignments will be given, 5% each • Final: 20% (take home) • Projects: 60% • Detailed specs will be given • Can be used to satisfy the M.S. project requirement • Participation: 5%

  7. What is Data Integration? The problem of providing • uniform (sources transparent to users) • access to (query) • multiple (even 2 is a problem) • autonomous (not affect the behavior of sources) • heterogeneous (different data models, schemas) • structured (at least semistructured) • data sources (not only databases)

  8. The Data Integration Problem Intranet Internet Internet Internet MyBookstore.com Mediated Schema Books Inventory Orders Shipping Reviews Site Morgan Kaufman DB East DB Orders Site FedEx DB Customer Reviews Site Addison Wesley DB West WS UPS Site NY Times WS Prentice Hall Site … Uniform query capability across autonomous,heterogeneous data sources on the Internet

  9. Motivation • Enterprise data integration • Web site construction • WWW • Comparison shopping • Portals integrating data from multiple sources • B2B, electronic marketplaces • Sciences • Geology: integrate geological data across the US continent (text as well as spatial data) • Biology: integrating genomic data

  10. Current Solutions • Mostly ad-hoc programming • Create a special solution for every case • Pay consultants a lot of money • Data Warehousing (Data Exchange) • Load all the data periodically into a warehouse • Separates operational DBMS from decision support DBMS (not only a solution to data integration) • Performance is good • Data may not be fresh • Need to clean data

  11. Course Outline (Tentative) • Data Integration Scenarios & Architectures • Find out what the problems are • Data Models & Type Systems • XML/Semistructured Data, DTDs, XML Schema • Query & Transformation Languages • Datalog, XPath, XQuery, XSLT • Data Integration Approaches • Different approaches depending on application characteristics • Schema Integration • Schema Mapping/Matching • Semi-automate the discovery of schema mappings

  12. Course Outline (cont) • Distributed Query Processing Algorithms • Query Rewriting Algorithms • Limited Query Capabilities • We don’t have full access to any database • Consistent Query Answers • Web Services • What can they do for data integration? • Semantic Web • RDF & SPARQL • Workflow Languages • How is this related to data integration?

  13. References • Data Integration: a Status Report • Alon Halevy • German Database Conference (BTW), 2003 • Invited Talk • Lecture Slides • Alon Halevy • http://www.cs.washington.edu/education/courses/cse544/00sp/lectures/ps/l12.ps

More Related