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Slide 1Objective of the UnitOutline of the UnitWhat is data managementDevelopments in Database SystemsCurrent StatusVision for Database ManagementSome Outstanding ProblemsSome Current Trends in Data ManagementInteroperability of Heterogeneous Database SystemsNote on Data AdministrationData, Information and Knowledge ManagementData, Information and Knowledge Management: Alternative View: MITRE Model 1999/2000Slide 14Slide 15Slide 16Concepts in Database SystemsDatabase SystemAn Example Database SystemEarly systems: Hierarchical and Network Database SystemsMetadataThree-level Schema Architecture: DetailsFunctional ArchitectureDBMS Design IssuesOther IssuesTypes of Database SystemsRelational Database: Informal OverviewRelational Database: ExampleSQL: Data ManipulationFeatures of Object-Oriented Database Systems Suitable for Advanced ApplicationsConcepts in Object Database SystemsExample Class HierarchyExample Composite ObjectDeductive Database SystemsSlide 35Slide 36Slide 37Slide 38A Definition of a Distributed Database SystemArchitectureDistributed ProcessorData DistributionDistributed Database FunctionsQuery Processing Example (Concluded)Transaction Processing ExampleSlide 46Technical Issues on the Interoperability of Heterogeneous Database SystemsDifferent Data ModelsSchema Integration and Transformation: An approachSemantic HeterogeneityFederated Database ManagementAutonomySchema Integration and Transformation in a Federated EnvironmentSecurity Policy IntegrationFederated Data and Policy ManagementClient-Server Architecture: ExampleRemote Database Access (RDA) ModelExample Three-Tier ArchitectureObject-based InteroperabilityJavasoft’s RMI (Remote Method Invocation)Microsoft’s Open Database ConnectivityOverview: Migrating Legacy SystemsMigrating Legacy Database and ApplicationsMigrating Business LogicApplication vs. Database MigrationExample: Legacy Migration using ObjectsExample Lessons Learned: Experience with CORBAExample: Migration using Object for Real-time SystemsCurrent Status and DirectionsInformation and Security AnalyticsOutlineWhat is a Data Warehouse?Example Data WarehouseSome Data Warehousing TechnologiesData Warehouse DesignDistributing the Data WarehouseMultidimensional Data ModelIndexing for Data WarehousingMetadata MappingsData MiningInformation and Security AnalyticsLecture #1Unit #1: Data Management: OverviewDr. Bhavani ThuraisinghamMay 27, 20101-201/14/19 09:49 Objective of the Unit0This unit provides an overview of the developments in data management. It also provides an overview of data management, information management and knowledge management and illustrates a framework 0Reference: Data Management Systems: Evolution and Interoperation, Thuraisingham, CRC Press, 19971-301/14/19 09:49 Outline of the Unit0What is Data Management?0Developments in Data Management0Current Status and Trends0Note on Data Administration0Data management, Information management, and Knowledge Management1-401/14/19 09:49 What is data management0One proposal: Data Management = Database System Management + Data Administration0Includes data analysis, data administration, database administration, auditing, data modeling, database system development, database application development0The tutorial will focus mainly on database system aspects of data management1-501/14/19 09:49 Developments in Database SystemsNetwork,Hierarchicaldatabase systemsRelational database systems, transaction processing, distributeddatabase systemsHeterogeneousdatabaseintegration,Migrating legacydatabasesNext generationdatabase systems:object-oriented,deductive, - - -data warehousing,data mining,multimedia database systems,Internet database1-601/14/19 09:49 Current StatusDatabaseSystemsMultimediaDatabaseSystemsData Warehousing SystemsLimitedintegrationbetweenthe differenttypes of systemsData MiningSystemsSensorDatabaseSystems Heterogeneous Database SystemsOftenStovepipedbyTechnology1-701/14/19 09:49 Vision for Database ManagementOptical Storage Multimedia DatabasesHigh-speed networks - voice, video, images Multimedia Databases Collaborative Analysis and Decision Making between Different OrganizationsRobotic Tape StorageAudio Video Text ImageryIn a recen t report id entifies to this organizatio n it was learned th at th e Government fo rces overcame overwhelmin g odds. The attack to o k p lace at approximately 10:0 0 EST.In a recen t report identifies to this organizatio n it was learned th at the Government fo rces overcame overwhelmin g odds. The attack too k p lace at approximately 10:0 0 EST.ApplicationsDissemination$¥£Distributed Multimedia Data ManagementIntegration ofDifferentTechnologies1-801/14/19 09:49 Some Outstanding ProblemsHeterogeneousDatabase IntegrationMultimediaDatabase ManagementReal-timeDatabaseManagementIntegrationwith other Technologies• Semantic heterogeneity• Inferencing• Transaction processing• Integrity• Security• Data model• Index strategies• Synchronization• Data manipulation • Quality of service• Operating system services • Transaction processing• Active databases• Distributed processing• Mass storage• Information management• Knowledge management MigratingLegacyApplications• Modernization• Enterprise modeling• Schema transformationIntegration1-901/14/19 09:49 Some Current Trends in Data Management0Heterogeneous database integration-Query, transactions, semantics, security and integrity0Migrating legacy databases-Fine-grained encapsulation, distributed objects0Multimedia databases-Query, model, quality-of-service, index0Data Warehousing-Building a warehouse, query0Data Mining-Multimedia databases, web data mining0Data management for collaboration-Architecture, transactions0Web databases and digital libraries-Query, transactions, index, security1-1001/14/19 09:49 Interoperability of Heterogeneous Database SystemsDatabase System ADatabase System BNetworkDatabase System C(Legacy)Transparent accessto heterogeneousdatabases - both usersand application programs;Query, Transactionprocessing(Relational)(Object-Oriented)1-1101/14/19 09:49 Note on Data Administration0Identifying the data-Data may be in files, paper, databases, etc.0Analyzing the data-Is the data of good quality?-Is the data complete?0Data standardization-Should one standardize all the data elements and


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UTD CS 6V81 - LECTURE NOTES

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