'Data model' diaporamas de présentation

PAPI Evaluation. Patricia J. Teller , Maria G. Aguilera, Thientam Pham, and Roberto Araiza ( Leonardo Salayandia, Alonso Bayona, Manuel Nieto, and Michael Maxwell) University of Texas-El Paso . Supported by the Department of Defense PET Program. Main Objectives.

SNOMED CT Denise Downs Knowledge Management & Education Lead Data Standards, Technology Office Department of Health Informatics Directorate Why a terminology? Common vocabulary across the UK required for data communication

Chapter 2. Introduction to Database Development. Outline. Context for database development Goals of database development Phases of database development CASE tools. Information System. Traditional Life Cycle. Development Alternatives. Difficulties Operational system is produced late

Arc Hydro Groundwater Data Model. GIS in Water Resources Fall 2009. With contributions from Norm Jones (BYU), Gil Strassberg ( Aquaveo ), David Maidment (UT Austin), Tim Whiteaker (UT Austin), Steve Grise (ESRI), Steve Kopp (ESRI).

METIS 2004 (Geneva, 9-11 February 2004). CLASET An EDI Message for Exchanging Classifications Contributed Paper (WP.26 ). Danny Delcambre, Eurostat ( Danny.Delcambre@cec.eu.int ). CLASET. fully operational, normalized message to exchange : 1) hierarchical structures, such as:

Introduction to Hive. Liyin Tang liyintan@usc.edu. Outline. Motivation Overview Data Model / Metadata Architecture Performance Cons and Pros Application Related Work. 10/20/2019. Motivation. Realtime Hadoop Cluster. Scribe MidTier. Web Servers. Scribe Writers. MySQL. Oracle RAC.

Introduction to Converter Sampled-Data Modeling . ECEN 5807 Dragan Maksimovi ć. Objectives. Better understanding of converter small-signal dynamics, especially at high frequencies Applications DCM high-frequency modeling Current mode control Digital control. v* ( t ). D/A. A/D.

Foundations of Software Architecture : Module 3. Conceptual Architecture. John Reekie University of Technology, Sydney . Contributors. Lian Loke, University of Technology Sydney . Terms of Use: Creative Commons Attribution-ShareAlike 2. 5 http://creativecommons.org/licenses/by-sa/2. 5 /.

Introduction to GIS and Hydrology. Steve Kopp ESRI Dean Djokic ESRI Al Rea USGS. Outline. Hydrology overview Data GIS tools for hydrology – the building blocks GIS data models and specialized tools Hydrologic modeling Hydraulic modeling Overview of NHD-Plus. Water Resources Overview.

New Jersey Department of Labor. System Interfaces for the NJ SUCCESS system. Unemployment Insurance Modernization. May 2003. Contents. Objective of this document The issue of interfaces The purpose of future NJ SUCCESS interfaces The technology of future NJ SUCCESS interfaces

Punching data to the authentication server TNC 2002, 05.06.2002 Ingrid Melve, UNINETT, Bård H. Moum Jakobsen, Oslo University. Our goal. Access control in heterogeneous, loosely coupled systems Replacing system specific (and single-vendor) access controls

1: Introduction. Purpose of Database Systems View of Data Database Languages Relational Databases Database Design Object-based and semistructured databases Data Storage and Querying Transaction Management Database Architecture Database Users and Administrators Overall Structure

Asynchronous Management IETF 100. Edward Birrane Edward.Birrane@jhuapl.edu 443-778-7423. High-Level Overview. Asynchronous Management Architecture (AMA) Proposed architecture for delay-tolerant network management. draft-birrane-dtn-ama-06 latest draft. Fixed misspellings.

Chapter (2) Database Systems Concepts and Architecture Objectives Understanding the modern database architectures Learning some of the terminologies and basic concepts Learning about data models Defining the concepts of schemes and instances Learning about three-scheme DBMS architecture

Faster Differentiation of Terrorists and Malicious Cyber Transactions from Good People and Transactions. Peter P. Chen Foster Distinguished Chair Professor Computer Science Dept. Louisiana State University Baton Rouge, LA 70803, USA pchen@lsu.edu http://www.csc.lsu.edu/~chen.

Building J2EE Applications Based on Design Patterns with Business Components for Java Olivier LE DIOURIS Principal Product Manager Oracle Corporation. Agenda. J2EE Overview & Challenges Design Patterns & Frameworks BC4J Overview Demo Summary. What is J2EE?. Java 2 Enterprise Edition

Lecture 13 Error and uncertainty. Outline terminology, types and sources why is it important? handling error and uncertainty. Introduction. GIS, great tool but what about error? data quality, error and uncertainty? error propagation? confidence in GIS outputs? NCGIA Initiative I- 1

Business Analysis ITEC-630 Fall 2010. Information & Data Analysis Professor J. Alberto Espinosa. Agenda. Introduction to database concepts Data modeling & relational database design Transitional artifacts: the CRUD matrix – linking requirements to data design Normalization. The Big Picture.

Chapter 33. Data Warehousing Design Transparencies. Chapter Objectives. The activities associated with initiating a data warehouse project.

Chapter 9: Structured Data Extraction. Supervised and unsupervised wrapper generation. Road map. Introduction Data Model and HTML encoding Wrapper induction Automatic Wrapper Generation: Two Problems String Matching and Tree Matching Multiple Alignments Building DOM Trees