'User views' diaporamas de présentation

Semantic Content-based Access To Hypervideo Databases

Semantic Content-based Access To Hypervideo Databases. Haitao Jiang Major Professor: Ahmed K. Elmagarmid Computer Science Department Purdue University 1998. Organization Of The Talk. Introduction And Review Of Related Work Logical Hypervideo Data Model (LHVDM)

1.22k views • 104 slides

Concepts of Database Management, Fifth Edition

Concepts of Database Management, Fifth Edition. Chapter 6: Database Design 2: Design Methodology. Objectives. Discuss the general process and goals of database design Define user views and explain their function Define database design language and use it to document database designs

1.01k views • 63 slides

Database Design

Database Design. ???????????????????. Steps in database. Requirements formulation & analysis. Requirements Spec. conceptual schema. Logical database design. Information structure. ERD or 3NF relations. Logical (or implementation) design. Physical database design.

855 views • 62 slides

Database Design

Database Design. ???????????????????. Steps in database. Requirements formulation & analysis. Requirements Spec. conceptual schema. Logical database design. Information structure. ERD or 3NF relations. Logical (or implementation) design. Physical database design.

956 views • 59 slides

593 views • 49 slides

Chapter 9

Chapter 9. Database Management Systems. Objectives for Chapter 9. Operational problems inherent in the flat file approach to data management that gave rise to the database concept The relationships among the defining elements of the database environment

405 views • 40 slides

Database System

Database System. How problems associated with software development led to the software crisis . How the software crisis led to a structured approach to software development called the information systems lifecycle. - Objectives. 2. The stages of the database system development lifecycle.

436 views • 34 slides

CSC271 Database Systems

CSC271 Database Systems. Lecture # 21. Summary: Previous Lecture. Phases of database SDLC Prototyping (optional) Implementation Data conversion and loading Testing Operational maintenance Fact-finding techniques Examining documentation Interviewing

552 views • 31 slides

Fact-finding Techniques

Fact-finding Techniques. Objectives. When fact-finding techniques are used in the database application lifecycle. The types of facts collected in each stage of the database application lifecycle. The types of documentation produced in each stage of the database application lifecycle.

570 views • 31 slides

Data Dictionary Views and Control Files

Chapter 11. Data Dictionary Views and Control Files. Mohd Shahizan Othman Jabatan Sistem Maklumat Fakulti Sains Komputer & Sistem Maklumat. Objectives. Use the data dictionary components and views List useful dynamic performance views View control file & redo log files information.

407 views • 27 slides

CSC271 Database Systems

CSC271 Database Systems. Lecture # 18. Summary: Previous Lecture. Transactions Authorization Authorization identifier, ownership, privileges GRANT/REVOKE. Database Planning, Design, and Administration. Chapter 9. Software Depression.

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Telling the Right Story Vendor Overview 2009

Telling the Right Story Vendor Overview 2009. Information overload. 8 % of information retained by the brain 87 % of information forgotten in 4 weeks To stick your story has to be; Created from the customers perspective Easy to navigate Differentiated and in context Complete and concise

281 views • 20 slides

Logical Relational Database Design

Logical Relational Database Design . Logical Relational Design. Purpose of logical data design is to represent application data in the form of related 2-dimensional relations. These will be used to create the tables in a relational database for the application.

469 views • 16 slides

Team #TBD Member1, Member2, Member3, Member4 [Alphabetical]

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MauveDB: Model-based User Views

MauveDB: Model-based User Views. Problem. Databases are unusable for scientific data Data are incomplete, imprecise, and erroneous Need to be filtered/synthesized using models Scientists use the in the most rudimentary ways As a backing store for raw data Run few or no queries

198 views • 13 slides

DEANERY PROJECT: EXCELLENCE THROUGH INTEGRATION

DEANERY PROJECT: EXCELLENCE THROUGH INTEGRATION. Background To ensure HENW is fit for purpose within new NHS structures Transformational plan to strengthen integration across HENW Includes promoting greater collaboration across the two deanery functions

201 views • 12 slides

IT Monitoring WG Monitoring Use Cases

IT Monitoring WG Monitoring Use Cases. 16 January 2012. Introduction. Goal Analyze different types uses cases from all IT groups Identify few representative common uses cases Contribution requested under 3 categories Fast & Furious (FF ) alarms, end user views Digging Deep (DD )

209 views • 8 slides

Conceptual Design versus Logical Design

Conceptual Design versus Logical Design . Conceptual Data Design . Prepared at beginning of project High level view of how the client sees the data Top down process Not concerned with details Normally prepared using brainstorming approach

212 views • 4 slides