Core concepts of accounting information systems 13 by simkin norman chapter 08

• Creating Database Tables in Microsoft Access• Entering Data in Database Tables • Extracting Data from Databases: Data Manipulation Languages • Cloud Databases and Data Warehouses... J

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Prepared by Paula Funkhouser University of Nevada, Reno

Core Concepts of Accounting Information Systems, 13th Edition

Mark G Simkin ● Jacob M Rose ● Carolyn S Norman

Organizing and Manipulating the Data in Databases

Chapter 8

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• Creating Database Tables in Microsoft Access

• Entering Data in Database Tables

• Extracting Data from Databases: Data Manipulation

Languages

• Cloud Databases and Data Warehouses

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Creating Database

Tables in Microsoft Access

• Database Management Systems

• An Introduction to Microsoft Access

• Creating Database Tables

• Defining a Record Format

• Creating Relationships

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Database Management Systems

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Introduction to Microsoft Access

• A popular relational database

• Used by many businesses and individuals

• Used for small database applications

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Microsoft Access – Initial Menu

and Opening Screen

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Creating Database Tables –

Defining Record Format

• Field Name - Required

– Names assigned to the data fields

• Data Type - Required

– Specified for each data field

• Field properties

– Identifies how to store the data – field properties

• Description - Optional

– Defines record structures

• Identifying a Primary Key

• Saving a Table

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Creating Database Tables –

Record Format

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Creating Relationships

• Purpose

– Link tables together

– Enable users to create multi-table reports

• Steps in Creating Relationships

– Select tables

– Link the tables

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Creating Database Relationships –

Linking Tables

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Creating Relationships –

Multitable Relationships

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Ensuring Valid and Accurate Data Entry

• Data Definition Language (DDL)

• Proper Data Types for Fields

• Input Masks

• Default Values

• Drop-Down Lists

• Referential Integrity

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Tools for Data Validation

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Drop-Down List Example

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Validation Rule Example

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Creating Referential Integrity

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All of the following are examples of DBMSs except:

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An example of a validation rule is:

A An input value must be an integer

B An input value must also have a default value

C An input value must be between 0 and 40

D You cannot delete parent records that have child records associated with them

Study Break #2

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Tips for Creating

Database Tables and Records

• Design first

–Create tables and records last

• Name tables systematically

– Use conventional tbl prefixes

• Use mnemonic names for data fields

• Assign correct data types to data fields

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Tips for Creating

Database Tables and Records

• Ensure data fields that link tables are the same data type

• Limit the size of text data fields to reasonable lengths

• Use input masks

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Extracting Data From Databases:

Data Manipulation Languages

• Schema

– All information in a database

– All relationships of the tables

– Map of entire database

• Subschema

– Subset of the schema

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Creating Select Queries

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Creating Select Queries

• One-Table Select Queries

– Creates a dynaset

– Based on:

• Criteria determining which records to include

• Criteria determining which fields to include from those records

– Single or Multiple Criteria

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Query Example

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Select Query Example

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Multi-Table Select Query Example

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Multi-Table Select Query Example

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Creating Action Queries

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Query Wizard Queries

• Access query Wizard

 Find-Duplicates quires

 Find-unmatched quires

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Guidelines for Creating Queries

• Spell accurately and be case sensitive

• Specify AND and OR operations correctly

• Tables must be joined properly

• Name queries systematically

• Choose data fields selectively

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Extracting Data From Databases

• Structured Query Language (SQL)

• Example of SQL Instructions

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• Sorting, Indexing, and Database Programming

– Sort – rewrites the records on disk

– Indexing – sorts on a key but does NOT rewrite the records on

disk

• Online Analytical Processing (OLAP)

– Complex, multidimensional data analysis

– Pivot tables

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• Data Mining

– Utilize a set of data analysis and statistical tools

– Identify relationships, patterns, or trends

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Cloud Databases

• Cloud Databases

– Form of Internet-based Computing

– Software provided through the Internet

– Processing occurs on a Web of computers

– Expands IT capabilities

• Database-As-A-Service (DAAS)

– Outsourcing of databases

• Backup Services

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– Span longer timeframe than transaction systems

– Optimized data relationships

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All of the following are examples of action queries except:

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SQL is an example of:

A A tool to perform online analytical processing

B A database management system

C A query language

D A multimedia database

Study Break #4

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