'Data manipulation language dml' presentation slideshows

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Chapter 8

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Database Programming

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SQL: Data Manipulation

SQL: Data Manipulation. Presented by Mary Choi For CS157B Dr. Sin Min Lee. Introduction. Structured Query Language (SQL) Writing an SQL Command Retrieving Data Building SQL Statements Performing Database Updates. What is SQL?. SQL is an example of a transform-oriented language .

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Agenda

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Data Management Options

Data Management Options. Dr. Merle P. Martin MIS Department CSU Sacramento. Acknowledgments. Dr. Russell Ching ( MIS Dept ) Source Materiel / Graphics Edie Schmidt ( UMS ) - Graphic Design Prentice Hall Publishing (Permissions)

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Chapter 8

Chapter 8. Data and Knowledge Management. Learning Objectives. When you finish this chapter, you will Know the difference between traditional file organization methods and the database approach.

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Chapter 8 Data and Knowledge Management

Chapter 8 Data and Knowledge Management. Learning Objectives. When you finish this chapter, you will Know the difference between traditional file organization methods and the database approach.

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CS6482 Topics on Data Engineering Qing Li (E-mail: itqli@cityu.hk) Dept of Computer Science

CS6482 Topics on Data Engineering Qing Li (E-mail: itqli@cityu.edu.hk) Dept of Computer Science City University of Hong Kong. Course Overview. Course Format: Tutorial classes and exercises which provide students with supervised problem-solving exercises Class on Wednesday in Y4701:

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SQL and JDBC

SQL and JDBC. Peter Mork. Database Primer*. All data values are simple No arrays, pointers, vectors, complex types All data are stored as 2D tables/relations Contains 0 or more rows/tuples Contains 1 or more columns/attributes All operations defined logically Order of tuples is irrelevant

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Chapter 8 Data and Knowledge Management

Chapter 8 Data and Knowledge Management. Managing Digital Data. The Traditional File Approach Disadvantages Program/Data Dependency Data Redundancy Data Integrity Moving to Databases Database Management System (DBMS) Queries: Request data from specified fields

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Database Technologies

Database Technologies. Chapter 4. Basic Concepts in Data Management. Field Individual piece of data Made up of one or more bytes, or characters Examples: name, address, phone number Record Fields that are grouped together for a specific purpose Primary key

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NoSQL

NoSQL. W2013 CSCI 2141. We can divide IT systems into transactional (OLTP) and analytical (OLAP). In general we can assume that OLTP systems provide source data to data warehouses, whereas OLAP systems help to analyze it. OLTP vs. OLAP. Challenges of Scale Differ.

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Chapter One Overview of Database

Chapter One Overview of Database. Objectives: -Introduction -DBMS architecture -Definitions -Data models -DB lifecycle. Definitions. Database Management System (DBMS): is a record keeping system (software) that allows one or more people to use or modify the data. Why DBMS:.

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Databases Illuminated

Databases Illuminated. Chapter 2 Database Planning and Database Architecture. Data as a Resource. Resource: an asset that has value and incurs cost Resources include capital equipment, financial assets, personnel and data Database is a resource because Operational data has value

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Organizing Data

Organizing Data. John Sum Institute of Technology Management National Chung Hsing University. Data. Data A necessity for almost any enterprise to carry out its business. Consists of raw facts, and when organized may be transformed into information. Database

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Chapter 1 : Introduction

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DATABASES & DATABASE MANAGEMENT SYSTEMS (DBMS). MS ACCESS What is a database Database terms

DATABASES & DATABASE MANAGEMENT SYSTEMS (DBMS). MS ACCESS What is a database Database terms DB constructing stages DB models Relational model Normal forms DBMS DBMS objects SQL.

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