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 Challenges. 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. In Christ. In time. Eternal truth. Truth in time. Perfect. Complete. Forgiven. In Christ, I am eternally. In time, I am . being. …. Perfected. Completed. Forgiven. This might be called “Relational Truth” vs. “Fellowship Truth”. “Sticks and Stones may break my bones but words will never hurt me.”. A psychological and emotional form of abuse.. Known as social bullying and Girl Bullying.. Behavior that uses the power of relationships to hurt other people. . 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,. Processing . on OpenCL-based FPGAs. Zeke Wang. , Johns Paul, Hui Yan Cheah . (. NTU,. . Singapore), . Bingsheng He (. NUS,. Singapore), . Wei Zhang (HKUST, Hong Kong). 1. Outline. Background and Problem. CSE 8330. Conventional Query Processing. Statistics generation. Query optimization. Query execution. Unreliable cardinality . e. stimates. Complex queries. Changes in the runtime environment. Query interactivity. 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,. An . Overview of the . ReGround. Project. Laura . Antanas. 1. , . Ozan. . Arkan. . Can. 2. , . Jesse . Davis. 1. , . Luc De . Raedt. 1. , . Amy . Loutfi. 3. , Andreas Persson. 3. , . Alessandro . Saffiotti. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . 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. Steadman Harrison III. Senior . Leadership Solutions Associate
. Steering Council Member. GCSP-CCL Leadership Alliance
. Addis Ababa, Ethiopia / Geneva, Switzerland
. harrisons@ccl.org.  . CONNECTED Community Webinar Series. 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: . https://. au.pinterest.com. /pin/197032552427242487/. “Problems are problems of a field and the solutions are solutions of that field. Any process, problem, creative advancement, solution to a problem is a function of the relationship between the people “of the field” and the field as a whole” (.