School of Computing and Information Systems INFO20003 Database Systems Sample exam Reading Time: 15 minutes Writing time: 120 minutes SUGGESTED SOLUTIONS INFO20003 Sample Exam Solution Page 1 of 13 Section 1 – ER Modelling INFO20003 Sample Exam Solution Page 2 of 13 Section 2 – SQL-DDL CREATE TABLE TEAM ( Team_ID CHAR(4) NOT NULL, Team_Name […]
INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 22 Adaptive databases for the future Introducing research avenues (non-examinable) Week 11 Data, data everywhere… www.tableausoftware.com [The Economist] Year 50-fold from 2010-2020* * ¡°The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East¡°, 2012, IDC http://reportlogix.com/reporting.html And grows exponentially… 2 Data
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Machine learning lecture slides COMS 4771 Fall 2020 0/52 HWI HW2 Recitation Shared w you on Google Drive Quiz 1 available on courseworks on Friday at 11 20 am See instructions on Piazza solutions due Nov 18th linear regression Course works time course works week This week Only link on Last Zoom on WS 1
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INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 13 Query Optimization Part I Week 7 1 INFO20003 Database Systems © University of Melbourne Remember this? Components of a DBMS DBMS Query processing module Parser/ Compiler Optimizer Executor TODAY & Next time Concurrency control module Transaction mgr. Lock mgr. Crash recovery module Concurrency control module Log mgr.
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School of Computing and Information Systems INFO20003 Database Systems SAMPLE EXAM Reading Time: 15 minutes Writing time: 120 minutes This paper has 14 pages including this page Authorised Materials Calculators: Casio fx82 calculators are permitted Instructions to Invigilators The examination paper IS TO REMAIN in the examination room Students are to be provided
CS W4111.001 Introduction to Databases Fall 2020 Computer Science Department Columbia University 1 Overview of Query Optimization • Goal: Choose an efficient execution plan for a query (hence avoiding the really inefficient plans) • Given a SQL query, define and analyze cost of many different execution plans that produce the correct answer for the query,
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INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 14 Query Optimization Part II Week 7 1 INFO20003 Database Systems © University of Melbourne Remember this? Components of a DBMS DBMS Query processing module Parser/ Compiler Optimizer Executor TODAY Plan enumeration Concurrency control module Transaction mgr. Lock mgr. Crash recovery module Concurrency control module Log mgr. Storage
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COMS 4771-2 Fall-B 2020 HW 4 (due December 16, 2020) Instructions Submitting the write-up • Submit your write-up on Gradescope as a neatly typeset (not scanned nor hand-written) PDF document by 10:00 PM of the due date (New York City local time). • You may produce the PDF using LATEX, Word, Markdown, etc.—whatever you like—as
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Objectives: This tutorial will cover: INFO20003 Tutorial – Week 7 Solutions (Tutorial: Query processing and cost estimation) I. Effect of index on selection operator – 10 mins II. Matching index – 10 mins III. Cost estimation for different joins – 30 mins Exercises: 1. Question about the effect of index on selection: Consider a relation
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CS W4111.001 Introduction to Databases Fall 2020 Computer Science Department Columbia University Overview of Query Optimization • So far, we studied choices—and their costs—for plans for individual relational operators (selections, projections, joins, …) • We will now cover more complex queries 45 Query Optimization: Outline Given a SQL query, ideally we would: 1. Consider all
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