PPT-Beyond the Relational Model

Serge Abiteboul INRIA Saclay Collège de France et ENS Cachan 32012 1 32012 1 32012 1 32012 1 Recall for first lecture Always question everything In industry to challenge the well established guys . Sarah Riahi and Oliver Schulte. School . of Computing Science. Simon Fraser University. Vancouver, Canada. With tools that you probably have around the . house. lab.. A simple method for multi-relational outlier detection. Relational Databases and Enterprise Systems. Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill . Education.. Nothing is so practical as a good theory. Kurt Lewin, 1945. The relational model. Overcame shortcomings of earlier database models. Has a strong theoretical base. Codd was the major developer. Problems with other models. Daniel Lowd. University of Oregon. April 20, 2015. Caveats. The purpose of this talk is to inspire meaningful discussion.. I may be completely wrong.. My background:. Markov logic networks, probabilistic graphical models. 40 . Database Management Systems. Course overview. . Welcome to CS540!. Instructor: Arash . Termehchy. Assistant Professor at EECS. Research on data management and . analytics. I. nformation & . Joint Work with . Sriraam Natarajan, . Kristian. . Kersting. , Jude . Shavlik. Bayesian Networks. Burglary. Earthquake. Alarm. JohnCalls. e. b. a. 0. 0. 0.1. 0. 1. 0.8. 1. 0. 0.6. 1. 1. 0.9. e. 0.01. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Presented By:. . Pardeep MT15042. . Anurag Goel MT15006. Outline. Introduction . to XML. XML Documents. XML Databases. XML . M. odel v/s . R. elational . Today’s Lecture. The Relational Model & Relational Algebra. Relational . Algebra Pt. II . [Optional: may skip]. 2. Lecture 16. 1. The Relational Model & Relational Algebra. 3. Lecture 16 > Section 1. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Connie Herbin, Kaye Robinson and Alfredo Ortiz Aragón, DSE . March 31, 2017. Purpose of our inquiry. Our inquiry. In Fall 2016, a research team. *. from the UIW PhD course “Qualitative Research Design (INDR 8357)” engaged the (ECCL) in an effort to design a research process that would help the ECCL . David J. Stucki. Relational Model Concepts. 2. Fundamental concept: the . relation. The Relational Model represents an entire database as a collection of . relations. Idea of a relation: A table of values. Sir Arthur Conan Doyle. Programmer productivity. In the 1970s, Codd laid out a plan for improving programmer productivity and accelerating systems development by improving the management and processing of data. Learning Objectives. In this chapter, you will learn:. That the relational database model offers a logical view of data. About the relational model’s basic component: relations. That relations are logical constructs composed of rows (tuples) and columns (attributes).