requête SQL:SELECT NomP, matiere FROM `produit` WHERE poids between 3 and 4 Enregistrements: 4

Size: px
Start display at page:

Download "requête SQL:SELECT NomP, matiere FROM `produit` WHERE poids between 3 and 4 Enregistrements: 4"

Transcription

1 requête SQL: select * from usine order by ville Enregistrements: 0 NomU Ville ALPHA AL ALBI ALPHA B BORDEAUX ALPHA B BORDEAUX ALPHA C CASTRES ALPHA L 0 ALPHA M MONTPELLIER ALPHA N NANTES ALPHA P ALPHA P ALPHA T TOULOUSE requête SQL:SELECT * FROM `usine` WHERE ville = 'Bordeaux' Enregistrements: NomU Ville ALPHA B BORDEAUX ALPHA B BORDEAUX requête SQL:SELECT FROM `commande` WHERE = and = ; requête SQL:SELECT NomP, matiere FROM `produit` WHERE poids between and Enregistrements: NomP matiere DOUILLE INOX DOUILLE ACIER RESSORT CHROME GAINE CAOUTCHOUX requête SQL:SELECT NomP, matiere FROM produit, commande where = and produit. = commande. order by matiere Enregistrements: NomP matiere RACCORD ACIER requête SQL:SELECT FROM `commande` WHERE = and in ( SELECT FROM produit where matiere = 'inox' )

2 requête SQL:SELECT DISTINCT NomF FROM commande, fournisseur, usine, produit WHERE matiere = 'acier' AND commande. = produit. AND commande. = usine. AND commande. = fournisseur. AND ( usine. ville = 'Toulouse' OR usine. ville = 'Nantes' ) NomF FASTER DESSCO PRONAS requête SQL:SELECT distinct FROM commande, fournisseur, usine WHERE commande. = usine. and commande. = fournisseur. and fournisseur. ville = usine. ville Enregistrements: requête SQL: select distinct from commande, fournisseur, usine where commande. = usine. and commande. = fournisseur. and fournisseur. ville = 'Toulouse' and usine. ville = 'Toulouse' Enregistrements: requête SQL:SELECT distinct Fournisseur. ville,, usine. ville from commande, fournisseur, usine WHERE commande. = fournisseur. Nf and commande. = usine. ville ville TOULOUSE ALBI MONTPELLIER ALBI ALBI TOULOUSE TOULOUSE BORDEAUX TOULOUSE BORDEAUX TOULOUSE TOULOUSE NANTES CASTRES TOULOUSE TOULOUSE TOULOUSE BORDEAUX TOULOUSE BORDEAUX CASTRES ALBI TOULOUSE NANTES requête SQL:SELECT DISTINCT Fournisseur. ville,, usine. ville FROM commande, fournisseur, usine WHERE commande. = fournisseur. Nf and commande. = usine. and fournisseur. ville!= usine. ville Enregistrements:

3 ville ville TOULOUSE ALBI MONTPELLIER ALBI ALBI BORDEAUX TOULOUSE BORDEAUX TOULOUSE TOULOUSE NANTES CASTRES TOULOUSE BORDEAUX TOULOUSE BORDEAUX CASTRES ALBI TOULOUSE NANTES requête SQL:SELECT DISTINCT commande. from commande, fournisseur, usine WHERE commande. = fournisseur. Nf and commande. = usine. and fournisseur. ville!= usine. ville Enregistrements: requête SQL:SELECT DISTINCT FROM commande WHERE IN ( SELECT FROM commande WHERE = ) AND = Enregistrements: requête SQL:SELECT DISTINCT FROM commande WHERE IN ( SELECT FROM commande WHERE = ) Enregistrements: requête SQL: SELECT DISTINCT from produit WHERE poids IN ( SELECT min( poids ) from produit ) Enregistrements:

4 requête SQL: SELECT DISTINCT FROM commande WHERE not in ( SELECT from commande, produit, fournisseur where commande. = fournisseur. and ville = 'Toulouse' and commande. = produit. and matiere = 'inox' ) Enregistrements: requête SQL:SELECT DISTINCT FROM commande GROUP BY HAVING count( * ) >= requête SQL:SELECT DISTINCT FROM commande GROUP BY HAVING COUNT( DISTINCT ) >= requête SQL: SELECT COUNT(DISTINCT )AS 'Total Usine' FROM commande WHERE =; Enregistrements: Total Usine requête SQL:select, count( * )AS 'Total commande Fournisseur' FROM commande GROUP BY Enregistrements: count( * ) requête SQL: SELECT,, SUM( quantite ) AS 'total' FROM commande GROUP BY, Enregistrements: total

5 total INSERT INTO `fournisseur` (``, `NomF`, `Statut`, `Ville`) VALUES ('0', 'Validico', 'ARTISANAL', 'Albi'); nu = commande. nu ) ) Enregistrements: np requête SQL:SELECT FROM commande WHERE not IN ( SELECT FROM commande WHERE!= ) Enregistrements: 0 DELETE FROM produit WHERE matiere=`inox` and poids between, and UPDATE fournisseur SET ville=`grenoble` where = UPDATE fournisseur SET statut=`industriel` where (ville=`paris` OR ville=`lyon`) requête SQL: SELECT DISTINCT FROM commande WHERE IN ( SELECT FROM commande WHERE IN ( select from commande WHERE IN ( select from produit where matiere = 'inox' ) ) ) Enregistrements: requête SQL:SELECT np FROM produit WHERE NOT EXISTS ( SELECT nu FROM usine WHERE ville = "Bordeaux" AND NOT EXISTS ( SELECT * FROM commande WHERE produit. np = commande. np AND usine.

Relational Database: Additional Operations on Relations; SQL

Relational Database: Additional Operations on Relations; SQL Relational Database: Additional Operations on Relations; SQL Greg Plaxton Theory in Programming Practice, Fall 2005 Department of Computer Science University of Texas at Austin Overview The course packet

More information

jeudi 22 octobre 15 Limbajul SQL

jeudi 22 octobre 15 Limbajul SQL Limbajul SQL Principiile SQL O interogatie se termina prin ; Instructiunile sunt in majuscule (conventie) Numele câmpurilor sau a tabelelor - scriere exacta Numele nu pot depasi 128 caractere 2/ 21 Gestiunea

More information

α α λ α = = λ λ α ψ = = α α α λ λ ψ α = + β = > θ θ β > β β θ θ θ β θ β γ θ β = γ θ > β > γ θ β γ = θ β = θ β = θ β = β θ = β β θ = = = β β θ = + α α α α α = = λ λ λ λ λ λ λ = λ λ α α α α λ ψ + α =

More information

Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification

Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification Copyright 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 5 Outline More Complex SQL Retrieval Queries

More information

Making OData requests from jquery and/or the Lianja HTML5 Client in a Web App is extremely straightforward and simple.

Making OData requests from jquery and/or the Lianja HTML5 Client in a Web App is extremely straightforward and simple. Lianja Cloud Server supports OData-compatible data access. The Server handles ODBC connections as well as HTTP requests using OData URIs. In this article I will show you how to use Lianja Cloud Server

More information

RESEARCH TAX CREDIT. Innovation. Research and development. A comprehensive offering tailored to all your R&D projects.

RESEARCH TAX CREDIT. Innovation. Research and development. A comprehensive offering tailored to all your R&D projects. taxation of R&D RESEARCH TAX CREDIT A comprehensive offering tailored to all your R&D projects Innovation Research and development Tax leveraging Intellectual property Essential ressources serving your

More information

Introduction to Computing. Lectured by: Dr. Pham Tran Vu [email protected]

Introduction to Computing. Lectured by: Dr. Pham Tran Vu t.v.pham@cse.hcmut.edu.vn Introduction to Computing Lectured by: Dr. Pham Tran Vu [email protected] Databases The Hierarchy of Data Keys and Attributes The Traditional Approach To Data Management Database A collection of

More information

SQL Azure and SqlBulkCopy

SQL Azure and SqlBulkCopy SQL Azure and SqlBulkCopy Presented by Herve Roggero Managing Partner, Blue Syntax Consulting SQL Azure MVP Email: [email protected] Twitter: @hroggero LinkedIn: SQL Azure and SQL Server Security

More information

The class slides, your notes, and the sample problem that we worked in class may be helpful for reference.

The class slides, your notes, and the sample problem that we worked in class may be helpful for reference. Page 1 of 5 Normalization Lab 12 and Take-home Exam II Objective The goal of this lab is to give you more practice on normalizing a database. You will analyze an existing database to determine the changes

More information

Database Management Systems Comparative Study: Performances of Microsoft SQL Server Versus Oracle

Database Management Systems Comparative Study: Performances of Microsoft SQL Server Versus Oracle Database Management Systems Comparative Study: Performances of Microsoft SQL Server Versus Oracle Cătălin Tudose*, Carmen Odubăşteanu** * - ITC Networks, Bucharest, Romania, e-mail: [email protected]

More information

- Eliminating redundant data - Ensuring data dependencies makes sense. ie:- data is stored logically

- Eliminating redundant data - Ensuring data dependencies makes sense. ie:- data is stored logically Normalization of databases Database normalization is a technique of organizing the data in the database. Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable

More information

T-SQL STANDARD ELEMENTS

T-SQL STANDARD ELEMENTS T-SQL STANDARD ELEMENTS SLIDE Overview Types of commands and statement elements Basic SELECT statements Categories of T-SQL statements Data Manipulation Language (DML*) Statements for querying and modifying

More information

Reviewing / Revising Employee Information

Reviewing / Revising Employee Information Overview You can review and revise employee information via Employee Master. For example, when an employee receives a promotion, you typically update the employee s salary or hourly rate, job type and

More information

ADAM 5.5. System Requirements

ADAM 5.5. System Requirements ADAM 5.5 System Requirements 1 1. Overview The schema below shows an overview of the ADAM components that will be installed and set up. ADAM Server: hosts the ADAM core components. You must install the

More information

Query-by-Example (QBE)

Query-by-Example (QBE) Query-by-Example (QBE) Module 3, Lecture 6 Example is the school of mankind, and they will learn at no other. -- Edmund Burke (1729-1797) Database Management Systems, R. Ramakrishnan 1 QBE: Intro A GUI

More information

A basic create statement for a simple student table would look like the following.

A basic create statement for a simple student table would look like the following. Creating Tables A basic create statement for a simple student table would look like the following. create table Student (SID varchar(10), FirstName varchar(30), LastName varchar(30), EmailAddress varchar(30));

More information

HareDB HBase Client Web Version USER MANUAL HAREDB TEAM

HareDB HBase Client Web Version USER MANUAL HAREDB TEAM 2013 HareDB HBase Client Web Version USER MANUAL HAREDB TEAM Connect to HBase... 2 Connection... 3 Connection Manager... 3 Add a new Connection... 4 Alter Connection... 6 Delete Connection... 6 Clone Connection...

More information

Chapter 6: Integrity Constraints

Chapter 6: Integrity Constraints Chapter 6: Integrity Constraints Domain Constraints Referential Integrity Assertions Triggers Functional Dependencies Database Systems Concepts 6.1 Silberschatz, Korth and Sudarshan c 1997 Domain Constraints

More information

MaxSea TZ: Microsoft SQL Server problems End User

MaxSea TZ: Microsoft SQL Server problems End User MaxSea TZ: Microsoft SQL Server problems End User This TechNote applies to MaxSea TimeZero Navigator and Explorer v1.9.5 and above Description: TimeZero uses Microsoft SQL server to manage routes, marks,

More information

Instant SQL Programming

Instant SQL Programming Instant SQL Programming Joe Celko Wrox Press Ltd. INSTANT Table of Contents Introduction 1 What Can SQL Do for Me? 2 Who Should Use This Book? 2 How To Use This Book 3 What You Should Know 3 Conventions

More information

SQL - QUICK GUIDE. Allows users to access data in relational database management systems.

SQL - QUICK GUIDE. Allows users to access data in relational database management systems. http://www.tutorialspoint.com/sql/sql-quick-guide.htm SQL - QUICK GUIDE Copyright tutorialspoint.com What is SQL? SQL is Structured Query Language, which is a computer language for storing, manipulating

More information

IT2304: Database Systems 1 (DBS 1)

IT2304: Database Systems 1 (DBS 1) : Database Systems 1 (DBS 1) (Compulsory) 1. OUTLINE OF SYLLABUS Topic Minimum number of hours Introduction to DBMS 07 Relational Data Model 03 Data manipulation using Relational Algebra 06 Data manipulation

More information

IT2305 Database Systems I (Compulsory)

IT2305 Database Systems I (Compulsory) Database Systems I (Compulsory) INTRODUCTION This is one of the 4 modules designed for Semester 2 of Bachelor of Information Technology Degree program. CREDITS: 04 LEARNING OUTCOMES On completion of this

More information

Base de données. TP5 : LID multi-table, jointures

Base de données. TP5 : LID multi-table, jointures ZAWISLAK Léo WARHURST Matthew Base de données La base METEO TP5 : LID multi-table, jointures MIAGE L3 25/11/2014 Question 1 select location, souname from Station, Source ; Toutes les combinaisons de sources

More information

Math 151. Rumbos Spring 2014 1. Solutions to Assignment #22

Math 151. Rumbos Spring 2014 1. Solutions to Assignment #22 Math 151. Rumbos Spring 2014 1 Solutions to Assignment #22 1. An experiment consists of rolling a die 81 times and computing the average of the numbers on the top face of the die. Estimate the probability

More information

1 Structured Query Language: Again. 2 Joining Tables

1 Structured Query Language: Again. 2 Joining Tables 1 Structured Query Language: Again So far we ve only seen the basic features of SQL. More often than not, you can get away with just using the basic SELECT, INSERT, UPDATE, or DELETE statements. Sometimes

More information

Introduction to data processing

Introduction to data processing IHEID - IMAS 2008-09 Introduction to data processing Benoît Vulliet Tuesday 10th February 2009 / 3:30-5:30pm Aubert room Introduction : Reminder of how this course came into being created by Christian

More information

Eurotunnel 2020 potential traffic estimate (Extract)

Eurotunnel 2020 potential traffic estimate (Extract) Strategy 2020 potential traffic estimate (Extract) Executive summary (1/3) Context and objectives The cross-channel passenger rail traffic was 9.91mpax in 2012, split between Brussels - London and Paris

More information

Lesson 07: MS ACCESS - Handout. Introduction to database (30 mins)

Lesson 07: MS ACCESS - Handout. Introduction to database (30 mins) Lesson 07: MS ACCESS - Handout Handout Introduction to database (30 mins) Microsoft Access is a database application. A database is a collection of related information put together in database objects.

More information

DATABASE NORMALIZATION

DATABASE NORMALIZATION DATABASE NORMALIZATION Normalization: process of efficiently organizing data in the DB. RELATIONS (attributes grouped together) Accurate representation of data, relationships and constraints. Goal: - Eliminate

More information

Perceptive Intelligent Capture Solution Configration Manager

Perceptive Intelligent Capture Solution Configration Manager Perceptive Intelligent Capture Solution Configration Manager Installation and Setup Guide Version: 1.0.x Written by: Product Knowledge, R&D Date: February 2016 2015 Lexmark International Technology, S.A.

More information

Chapter 2: Binomial Methods and the Black-Scholes Formula

Chapter 2: Binomial Methods and the Black-Scholes Formula Chapter 2: Binomial Methods and the Black-Scholes Formula 2.1 Binomial Trees We consider a financial market consisting of a bond B t = B(t), a stock S t = S(t), and a call-option C t = C(t), where the

More information

The French Approach to Rapid Transit Mode Selection and Project Planning Thierry Gouin / Certu

The French Approach to Rapid Transit Mode Selection and Project Planning Thierry Gouin / Certu The French Approach to Rapid Transit Mode Selection and Project Planning Thierry Gouin / Certu Transport Forum / World Bank / Washington / 28 March 2006 The Center for the Study of Urban Planning, Transportation

More information

Microsoft Excel 2007 Mini Skills Overview of Tables

Microsoft Excel 2007 Mini Skills Overview of Tables To make managing and analyzing a group of related data easier, you can turn a range of cells into a Microsoft Office Excel table (previously known as an Excel list). A table typically contains related

More information

Technical Bulletin. SQL Express Backup Utility

Technical Bulletin. SQL Express Backup Utility Technical Bulletin SQL Express Backup Utility May 2012 Introduction This document describes the installation, configuration and use of the SATEON SQL Express Backup utility, which is used to provide scheduled

More information

ABAP How To on SQL Trace Analysis

ABAP How To on SQL Trace Analysis Applies To: ABAP Summary SQL trace is a performance analysis tool that shows how open SQL statements are converted into native SQL statements. The following document discusses the performance measure utility

More information

CATALOGUE DES IMPLANTS SUISSE 2014

CATALOGUE DES IMPLANTS SUISSE 2014 CATALOGUE DES IMPLANTS SUISSE 2014 Commandez sans frais de port: www.straumann.ch/e-shop 1 Le Straumann Dental Implant System TABLE DES MATIÈRES 1. Implants Tissue Level 1.1 Roxolid, 4 1.2 Roxolid, 10

More information

http://www.thedataanalysis.com/sql/sql-programming.html

http://www.thedataanalysis.com/sql/sql-programming.html http://www.thedataanalysis.com/sql/sql-programming.html SQL: UPDATE Statement The UPDATE statement allows you to update a single record or multiple records in a table. The syntax for the UPDATE statement

More information

MCP Guru Series DMSII & dbatools. Kung Lin Unisys Corporation Jim Stewart Stewart Data Tech. Ltd.

MCP Guru Series DMSII & dbatools. Kung Lin Unisys Corporation Jim Stewart Stewart Data Tech. Ltd. MCP Guru Series DMSII & dbatools Kung Lin Unisys Corporation Jim Stewart Stewart Data Tech. Ltd. MCP Guru Series - DMSII Recap Persistent RSN NOFTLOCK 15.0 LOCKPROGRAM Enhancement Data Access Logging Configuration

More information

Travel Report. Toulouse Business School Fall 2013

Travel Report. Toulouse Business School Fall 2013 Travel Report Toulouse Business School Fall 2013 287878 Table of Contents 1. Opening words... 1 2. Preparing... 1 3. Arriving to Toulouse... 2 4. Accommodation... 2 5. Other practicalities... 3 6. Studying

More information

Structured Query Language (SQL)

Structured Query Language (SQL) Objectives of SQL Structured Query Language (SQL) o Ideally, database language should allow user to: create the database and relation structures; perform insertion, modification, deletion of data from

More information

Oracle Database: SQL and PL/SQL Fundamentals

Oracle Database: SQL and PL/SQL Fundamentals Oracle University Contact Us: 1.800.529.0165 Oracle Database: SQL and PL/SQL Fundamentals Duration: 5 Days What you will learn This course is designed to deliver the fundamentals of SQL and PL/SQL along

More information

PROCESSES LOADER 9.0 SETTING. Requirements and Assumptions: I. Requirements for the batch process:

PROCESSES LOADER 9.0 SETTING. Requirements and Assumptions: I. Requirements for the batch process: SETTING UP DATA LOADER 9.0 FOR AUTO PROCESSES Requirements and Assumptions: 9.0 The purpose of this document is to document findings on the setup of Data Loader 9.0 for automated processes. I will be updating

More information

Database Design Librarian Survey Database

Database Design Librarian Survey Database Database Design Librarian Survey Database BRANDON, MCKAY, AND MATSANGAISE A Report on the creation and implementation of a PostgreSQL database for accessing, querying, and analyzing data collected from

More information

Entity store. Microsoft Dynamics AX 2012 R3

Entity store. Microsoft Dynamics AX 2012 R3 Microsoft Dynamics AX 2012 R3 Entity store This document describes the primary scenarios and features of Entity store. Entity store is a database that is used for analytical scenarios such as near-real-time

More information

Creating QBE Queries in Microsoft SQL Server

Creating QBE Queries in Microsoft SQL Server Creating QBE Queries in Microsoft SQL Server When you ask SQL Server or any other DBMS (including Access) a question about the data in a database, the question is called a query. A query is simply a question

More information

14 Databases. Source: Foundations of Computer Science Cengage Learning. Objectives After studying this chapter, the student should be able to:

14 Databases. Source: Foundations of Computer Science Cengage Learning. Objectives After studying this chapter, the student should be able to: 14 Databases 14.1 Source: Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: Define a database and a database management system (DBMS)

More information

GCSE Database Projects in Access

GCSE Database Projects in Access GCSE Database Projects in Access Creating the Tables This tutorial shows you how to create a database for a person who sells second-hand albums. You are going to have one main table and several lookup

More information

DBMS / Business Intelligence, SQL Server

DBMS / Business Intelligence, SQL Server DBMS / Business Intelligence, SQL Server Orsys, with 30 years of experience, is providing high quality, independant State of the Art seminars and hands-on courses corresponding to the needs of IT professionals.

More information

Another way to look at the Project Une autre manière de regarder le projet. Montpellier 23 juin - 4 juillet 2008 Gourlot J.-P.

Another way to look at the Project Une autre manière de regarder le projet. Montpellier 23 juin - 4 juillet 2008 Gourlot J.-P. Another way to look at the Project Une autre manière de regarder le projet Montpellier 23 juin - 4 juillet 2008 Gourlot J.-P. Plan of presentation Plan de présentation Introduction Components C, D The

More information

UQC103S1 UFCE47-20-1. Systems Development. uqc103s/ufce47-20-1 PHP-mySQL 1

UQC103S1 UFCE47-20-1. Systems Development. uqc103s/ufce47-20-1 PHP-mySQL 1 UQC103S1 UFCE47-20-1 Systems Development uqc103s/ufce47-20-1 PHP-mySQL 1 Who? Email: [email protected] Web Site www.cems.uwe.ac.uk/~jedawson www.cems.uwe.ac.uk/~jtwebb/uqc103s1/ uqc103s/ufce47-20-1 PHP-mySQL

More information

Data Mining Commonly Used SQL Statements

Data Mining Commonly Used SQL Statements Description: Guide to some commonly used SQL OS Requirement: Win 2000 Pro/Server, XP Pro, Server 2003 General Requirement: You will need a Relational Database (SQL server, MSDE, Access, Oracle, etc), Installation

More information

Welcome to the topic on queries in SAP Business One.

Welcome to the topic on queries in SAP Business One. Welcome to the topic on queries in SAP Business One. 1 In this topic, you will learn to create SQL queries using the SAP Business One query tools Query Wizard and Query Generator. You will also see how

More information

Paxera Uploader Basic Troubleshooting

Paxera Uploader Basic Troubleshooting Before going further, please check the logs and auto-route queue in the Uploader Control, these logs will say a lot about your problem. You should take care of the following before contacting our Support

More information

Cloud and Big Data Summer School, Stockholm, Aug. 2015 Jeffrey D. Ullman

Cloud and Big Data Summer School, Stockholm, Aug. 2015 Jeffrey D. Ullman Cloud and Big Data Summer School, Stockholm, Aug. 2015 Jeffrey D. Ullman 2 In a DBMS, input is under the control of the programming staff. SQL INSERT commands or bulk loaders. Stream management is important

More information

SQL Basics for RPG Developers

SQL Basics for RPG Developers SQL Basics for RPG Developers Chris Adair Manager of Application Development National Envelope Vice President/Treasurer Metro Midrange Systems Assoc. SQL HISTORY Structured English Query Language (SEQUEL)

More information

Week 4 & 5: SQL. SQL as a Query Language

Week 4 & 5: SQL. SQL as a Query Language Week 4 & 5: SQL The SQL Query Language Select Statements Joins, Aggregate and Nested Queries Insertions, Deletions and Updates Assertions, Views, Triggers and Access Control SQL 1 SQL as a Query Language

More information

HORECA RESTAURATION. Helbig 02 HORECA 1

HORECA RESTAURATION. Helbig 02 HORECA 1 HORECA RESTAURATION kenmerken caractéristiques - Afwerking in messing, RVS of chroom. - Buizen beschikbaar in diameter 16 mm, 25 mm, 40 mm en 50,8 mm. - Buigwerk buizen mogelijk. - Verschillende modellen

More information

Databases What the Specification Says

Databases What the Specification Says Databases What the Specification Says Describe flat files and relational databases, explaining the differences between them; Design a simple relational database to the third normal form (3NF), using entityrelationship

More information

KPNS Database Setup Guide - SQL Server

KPNS Database Setup Guide - SQL Server KPNS Database Setup Guide - SQL Server Kony Platform Release 5.0.7 Copyright 2013 Kony, Inc. All rights reserved. February, 2014 This document contains information proprietary to Kony, Inc., is bound by

More information

Oracle Database: SQL and PL/SQL Fundamentals NEW

Oracle Database: SQL and PL/SQL Fundamentals NEW Oracle University Contact Us: + 38516306373 Oracle Database: SQL and PL/SQL Fundamentals NEW Duration: 5 Days What you will learn This Oracle Database: SQL and PL/SQL Fundamentals training delivers the

More information

David Dye. Extract, Transform, Load

David Dye. Extract, Transform, Load David Dye Extract, Transform, Load Extract, Transform, Load Overview SQL Tools Load Considerations Introduction David Dye [email protected] HTTP://WWW.SQLSAFETY.COM Overview ETL Overview Extract Define

More information

A Migration Methodology of Transferring Database Structures and Data

A Migration Methodology of Transferring Database Structures and Data A Migration Methodology of Transferring Database Structures and Data Database migration is needed occasionally when copying contents of a database or subset to another DBMS instance, perhaps due to changing

More information

ASP.NET Programming with C# and SQL Server

ASP.NET Programming with C# and SQL Server ASP.NET Programming with C# and SQL Server First Edition Chapter 8 Manipulating SQL Server Databases with ASP.NET Objectives In this chapter, you will: Connect to SQL Server from ASP.NET Learn how to handle

More information

Incremental Replication from SQL Server to Oracle. Kane McKenzie Liberty University

Incremental Replication from SQL Server to Oracle. Kane McKenzie Liberty University Incremental Replication from SQL Server to Kane McKenzie Liberty University Our Challenge Efficiently Replicate Data from SQL Server based CRM database to based Data Warehouse Business Drivers Issues with

More information

CS 377 Database Systems. Database Design Theory and Normalization. Li Xiong Department of Mathematics and Computer Science Emory University

CS 377 Database Systems. Database Design Theory and Normalization. Li Xiong Department of Mathematics and Computer Science Emory University CS 377 Database Systems Database Design Theory and Normalization Li Xiong Department of Mathematics and Computer Science Emory University 1 Relational database design So far Conceptual database design

More information

CIS 631 Database Management Systems Sample Final Exam

CIS 631 Database Management Systems Sample Final Exam CIS 631 Database Management Systems Sample Final Exam 1. (25 points) Match the items from the left column with those in the right and place the letters in the empty slots. k 1. Single-level index files

More information

Intermediate SQL C H A P T E R4. Practice Exercises. 4.1 Write the following queries in SQL:

Intermediate SQL C H A P T E R4. Practice Exercises. 4.1 Write the following queries in SQL: C H A P T E R4 Intermediate SQL Practice Exercises 4.1 Write the following queries in SQL: a. Display a list of all instructors, showing their ID, name, and the number of sections that they have taught.

More information

Our Raison d'être. Identify major choice decision points. Leverage Analytical Tools and Techniques to solve problems hindering these decision points

Our Raison d'être. Identify major choice decision points. Leverage Analytical Tools and Techniques to solve problems hindering these decision points Analytic 360 Our Raison d'être Identify major choice decision points Leverage Analytical Tools and Techniques to solve problems hindering these decision points Empowerment through Intelligence Our Suite

More information

AvePoint SearchAll 3.0.2 for Microsoft Dynamics CRM

AvePoint SearchAll 3.0.2 for Microsoft Dynamics CRM AvePoint SearchAll 3.0.2 for Microsoft Dynamics CRM Installation and Configuration Guide Revision E Issued April 2014 1 Table of Contents Overview... 3 Before You Begin... 4 Supported and Unsupported Web

More information

Oracle Database: SQL and PL/SQL Fundamentals

Oracle Database: SQL and PL/SQL Fundamentals Oracle University Contact Us: +966 12 739 894 Oracle Database: SQL and PL/SQL Fundamentals Duration: 5 Days What you will learn This Oracle Database: SQL and PL/SQL Fundamentals training is designed to

More information

Y Local 4GB SQL Server instance. Y Via generic ODBC connection. Adding full support for Aster and Excel 1st quarter next year.

Y Local 4GB SQL Server instance. Y Via generic ODBC connection. Adding full support for Aster and Excel 1st quarter next year. Functionality Multi Dbase Platform Compact Edition Parallel Warehouse (PDW) Oracle Sybase ASE Aster Vertica DATAllegro DB2 Kognitio Neoview ParAccel Redshift Generic ODBC Script Creation SQL Adv SQL (joins

More information

Instructions for update installation of ElsaWin 5.00

Instructions for update installation of ElsaWin 5.00 Instructions for update installation of ElsaWin 5.00 Page 1 of 21 Contents 1. Requirements... 3 2. Updating to version 5.00... 4 3. Client update... 19 Page 2 of 21 1. Requirements ElsaWin 4.10 must be

More information

P_Id LastName FirstName Address City 1 Kumari Mounitha VPura Bangalore 2 Kumar Pranav Yelhanka Bangalore 3 Gubbi Sharan Hebbal Tumkur

P_Id LastName FirstName Address City 1 Kumari Mounitha VPura Bangalore 2 Kumar Pranav Yelhanka Bangalore 3 Gubbi Sharan Hebbal Tumkur SQL is a standard language for accessing and manipulating databases. What is SQL? SQL stands for Structured Query Language SQL lets you access and manipulate databases SQL is an ANSI (American National

More information

Computer Training Centre University College Cork. Excel 2013 Pivot Tables

Computer Training Centre University College Cork. Excel 2013 Pivot Tables Computer Training Centre University College Cork Excel 2013 Pivot Tables Table of Contents Pivot Tables... 1 Changing the Value Field Settings... 2 Refreshing the Data... 3 Refresh Data when opening a

More information

INFO/CS 330: Applied Database Systems

INFO/CS 330: Applied Database Systems INFO/CS 330: Applied Database Systems Introduction to Database Security Johannes Gehrke [email protected] http://www.cs.cornell.edu/johannes Introduction to DB Security Secrecy:Users should not be

More information

SQL Server 2008 Core Skills. Gary Young 2011

SQL Server 2008 Core Skills. Gary Young 2011 SQL Server 2008 Core Skills Gary Young 2011 Confucius I hear and I forget I see and I remember I do and I understand Core Skills Syllabus Theory of relational databases SQL Server tools Getting help Data

More information

You can use command show database; to check if bank has been created.

You can use command show database; to check if bank has been created. Banking Example primary key is underlined) branch branch-name, branch-city, assets) customer customer-name, customer-street, customer-city) account account-number, branch-name, balance) loan loan-number,

More information

Beginning C# 5.0. Databases. Vidya Vrat Agarwal. Second Edition

Beginning C# 5.0. Databases. Vidya Vrat Agarwal. Second Edition Beginning C# 5.0 Databases Second Edition Vidya Vrat Agarwal Contents J About the Author About the Technical Reviewer Acknowledgments Introduction xviii xix xx xxi Part I: Understanding Tools and Fundamentals

More information

This is a training module for Maximo Asset Management V7.1. It demonstrates how to use the E-Audit function.

This is a training module for Maximo Asset Management V7.1. It demonstrates how to use the E-Audit function. This is a training module for Maximo Asset Management V7.1. It demonstrates how to use the E-Audit function. Page 1 of 14 This module covers these topics: - Enabling audit for a Maximo database table -

More information

The process of database development. Logical model: relational DBMS. Relation

The process of database development. Logical model: relational DBMS. Relation The process of database development Reality (Universe of Discourse) Relational Databases and SQL Basic Concepts The 3rd normal form Structured Query Language (SQL) Conceptual model (e.g. Entity-Relationship

More information

Using SQL Queries in Crystal Reports

Using SQL Queries in Crystal Reports PPENDIX Using SQL Queries in Crystal Reports In this appendix Review of SQL Commands PDF 924 n Introduction to SQL PDF 924 PDF 924 ppendix Using SQL Queries in Crystal Reports The SQL Commands feature

More information

Basic Excel Handbook

Basic Excel Handbook 2 5 2 7 1 1 0 4 3 9 8 1 Basic Excel Handbook Version 3.6 May 6, 2008 Contents Contents... 1 Part I: Background Information...3 About This Handbook... 4 Excel Terminology... 5 Excel Terminology (cont.)...

More information

SQL SELECT Query: Intermediate

SQL SELECT Query: Intermediate SQL SELECT Query: Intermediate IT 4153 Advanced Database J.G. Zheng Spring 2012 Overview SQL Select Expression Alias revisit Aggregate functions - complete Table join - complete Sub-query in where Limiting

More information

BI 4.1 Quick Start Java User s Guide

BI 4.1 Quick Start Java User s Guide BI 4.1 Quick Start Java User s Guide BI 4.1 Quick Start Guide... 1 Introduction... 4 Logging in... 4 Home Screen... 5 Documents... 6 Preferences... 8 Web Intelligence... 12 Create a New Web Intelligence

More information

DATABASE DESIGN AND IMPLEMENTATION II SAULT COLLEGE OF APPLIED ARTS AND TECHNOLOGY SAULT STE. MARIE, ONTARIO. Sault College

DATABASE DESIGN AND IMPLEMENTATION II SAULT COLLEGE OF APPLIED ARTS AND TECHNOLOGY SAULT STE. MARIE, ONTARIO. Sault College -1- SAULT COLLEGE OF APPLIED ARTS AND TECHNOLOGY SAULT STE. MARIE, ONTARIO Sault College COURSE OUTLINE COURSE TITLE: CODE NO. : SEMESTER: 4 PROGRAM: PROGRAMMER (2090)/PROGRAMMER ANALYST (2091) AUTHOR:

More information

SOAL-SOAL MICROSOFT EXCEL 1. The box on the chart that contains the name of each individual record is called the. A. cell B. title C. axis D.

SOAL-SOAL MICROSOFT EXCEL 1. The box on the chart that contains the name of each individual record is called the. A. cell B. title C. axis D. SOAL-SOAL MICROSOFT EXCEL 1. The box on the chart that contains the name of each individual record is called the. A. cell B. title C. axis D. legend 2. If you want all of the white cats grouped together

More information

Data Structure: Relational Model. Programming Interface: JDBC/ODBC. SQL Queries: The Basic From

Data Structure: Relational Model. Programming Interface: JDBC/ODBC. SQL Queries: The Basic From Data Structure: Relational Moel Relational atabases: Schema + Data Schema (also calle scheme): collection of tables (also calle relations) each table has a set of attributes no repeating relation names,

More information

Introduction to database design

Introduction to database design Introduction to database design KBL chapter 5 (pages 127-187) Rasmus Pagh Some figures are borrowed from the ppt slides from the book used in the course, Database systems by Kiefer, Bernstein, Lewis Copyright

More information

AJ Matrix V5. Installation Manual

AJ Matrix V5. Installation Manual AJ Matrix V5 Installation Manual AJ Square Consultancy Services (p) Ltd., The Lord's Garden, #1-12, Vilacheri Main Road, Vilacheri, Madurai-625 006.TN.INDIA, Ph:+91-452-3917717, 3917790. Fax : 2484600

More information

SQL Programming. CS145 Lecture Notes #10. Motivation. Oracle PL/SQL. Basics. Example schema:

SQL Programming. CS145 Lecture Notes #10. Motivation. Oracle PL/SQL. Basics. Example schema: CS145 Lecture Notes #10 SQL Programming Example schema: CREATE TABLE Student (SID INTEGER PRIMARY KEY, name CHAR(30), age INTEGER, GPA FLOAT); CREATE TABLE Take (SID INTEGER, CID CHAR(10), PRIMARY KEY(SID,

More information

(usp BigData Oriented Architecture)

(usp BigData Oriented Architecture) (usp BigData Oriented Architecture) Big Data Software Appliance Simple, High-Speed Big Data Processing using Shell Scripting and usptukubai Universal Shell Programming Laboratory, Ltd. January 2013 1 Product

More information