PPT-Relational Query

Processing on OpenCLbased FPGAs Zeke Wang Johns Paul Hui Yan Cheah NTU Singapore Bingsheng He NUS Singapore Wei Zhang HKUST Hong Kong 1 Outline Background and Problem. A type of database in which records are stored in relational form is called relational database management system.. Relational Data Structure. Relation. Attribute. Domain. Tuple. Degree. Cardinality. Patricia A. Alexander. Forward a claim about the association between relational reasoning with metacognition theory and research. Consider the nature of percepts and concepts in human learning and performance. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. 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. 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. A query is stated using SQL or other languages, ideally natural languages. After query parsing, each query is essentially treated as a . relational algebra expression. Query optimizer . Enumerates . the possible plans to evaluate expression,. OVERVIEW OF CODD’s RULE. A . relational database management system (RDBMS).  is a database management system (DBMS) that is based on the relational model as introduced by . E. F. . Codd. . . A short definition of an RDBMS may be a DBMS in which data is stored. A query is stated using SQL or other languages, ideally natural languages. After query parsing, each query is essentially treated as a . relational algebra expression. Query optimizer . Enumerates . the possible plans to evaluate expression,. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Dr Sue . Mizen. Exeter. Characteristics of Severe and Complex PD. Symbolisation in the brain. Jaak. Panksepp. Basic Emotion Command Systems. SEEKING. PANIC. FEAR. RAGE. PLAY. Basic emotion Command Systems. Sergio V Delgado MD. Professor in Psychiatry, Child Psychiatry and Psychoanalysis. Medical Director, Outpatient Services Department of Psychiatry, Cincinnati Children's Hospital Medical Center. Co-Chair AACAP Psychotherapy Committee. Section 1. Tutorial on Learning Bayesian Networks for Relational Data. Overview. What are relational data?. Different notations/representations.. Logic. Tables. Graph. RDF. Matrix/Tensor. Common core: . 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). Serge Abiteboul. INRIA Saclay, Collège de France et ENS Cachan. 3/20/12. 1. 3/20/12. 1. 3/20/12. 1. 3/20/12. 1. Recall for first lecture:. Always . question . everything. In industry: to challenge the well established guys .