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Preparing to Automate Data Management

Chapter 1. Preparing to Automate Data Management. Chapter Introduction. Discovery phase includes: Gathering all existing data Researching missing and incomplete data Talking with users about data output needs Subsequent steps in process include: Putting data into groups called tables

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Preparing to Automate Data Management

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  1. Chapter 1 Preparing to Automate Data Management

  2. Chapter Introduction • Discovery phase includes: • Gathering all existing data • Researching missing and incomplete data • Talking with users about data output needs • Subsequent steps in process include: • Putting data into groups called tables • Identifying unique values for each record in those tables • Designing database to produce desired output Succeeding in Business with Microsoft Access 2010

  3. Database Design Process: The Discovery Phase Succeeding in Business with Microsoft Access 2010

  4. Level 1 Objectives: Examining Existing and Missing Sources of Data Discover and evaluate sources of existing data Research sources of missing data Assign data to tables and use field types and sizes to define data Succeeding in Business with Microsoft Access 2010

  5. Discovering and Evaluating Sources of Existing Data • Identify information that organization needs to manage and organize • Might begin to see patterns that indicate how to organize data • Database management system (DBMS) • Includes: • Oracle • Microsoft Access • MySQL Succeeding in Business with Microsoft Access 2010

  6. Discovering and Evaluating Sources of Existing Data (cont’d) • Data duplication • Undesirable • Additional space required in database to store extra records • Leads to inconsistent and inaccurate data • Data redundancy • Same data repeated for different records Succeeding in Business with Microsoft Access 2010

  7. Researching Sources of Missing Data Part of discovery phase Must ask right questions of right people to get right answers Succeeding in Business with Microsoft Access 2010

  8. Assimilating the Available Information and Planning the Database • First step in database design • Determine best way to organize data into logical groups of fields • Field • Single characteristic of entity • Also called column • Record • Values in each field in table • Also called row Succeeding in Business with Microsoft Access 2010

  9. Assimilating the Available Information and Planning the Database (continued) • Table • Collection of fields that describe one entity • Also called entity or relation • Database • Collection of one or more tables • Relational database • Contains related tables through fields that contain identical data Succeeding in Business with Microsoft Access 2010

  10. Evaluating Field Values and Assigning Appropriate Data Types • Data type • Determines how to store data in field • DBMSs use different names for some data types • How do you determine which data type to assign each field? • Depends on what function you want to derive from data • Each data type has different properties Succeeding in Business with Microsoft Access 2010

  11. Common Data Types and Their Descriptions Succeeding in Business with Microsoft Access 2010

  12. The Text and Memo Data Types • Text data type • Letters and numbers • Not used in calculations or formulas • Stores maximum of 255 characters • Default for all fields created in access database • Memo data type • Store long passages of text • Displays only 65,000 characters Succeeding in Business with Microsoft Access 2010

  13. The Number Data Type Stores both positive and negative numbers Contains up to 15 digits Use for values used in calculations Succeeding in Business with Microsoft Access 2010

  14. The Currency Data Type Includes two decimal places and displays values with dollar sign Use for monetary values Succeeding in Business with Microsoft Access 2010

  15. The Date/Time Data Type • Display values in format mm/dd/yyyy • Can also include time in different formats • Used in calculations if necessary Succeeding in Business with Microsoft Access 2010

  16. The AutoNumber Data Type Number automatically generated by access Produces unique values for each record Useful to distinguish two records that share identical information Succeeding in Business with Microsoft Access 2010

  17. The Yes/No Data Type • Assigned to fields requiring • Yes/no • True/false • On/off • Takes up one character of storage space • Make data entry easy • Check box Succeeding in Business with Microsoft Access 2010

  18. The OLE Object Data Type • Used to identify files created in another program • Then linked or embedded in database • Abbreviation for object linking and embedding Succeeding in Business with Microsoft Access 2010

  19. The Hyperlink Data Type • Assigned to fields that contain hyperlinks to • Web pages • E-mail addresses • Files that open in • Web browser • E-mail client • Another application Succeeding in Business with Microsoft Access 2010

  20. The Attachment Data Type • Lets you store one or more files for each record in the database • Pictures • Documents • Charts • Spreadsheets Succeeding in Business with Microsoft Access 2010

  21. The Calculated Type New for Access 2010 Uses data from fields in the same table to perform calculations When selected, opens Expression Builder so you can create the calculation or expression Succeeding in Business with Microsoft Access 2010

  22. The Lookup Data Type • Creates fields to look up data in • Another table • Or list of values created for field • Makes data entry easy • Ensures that valid data entered into field Succeeding in Business with Microsoft Access 2010

  23. Selecting the Correct Data Type • Helps store correct data in correct format while using least amount of space • Eases data entry and interactivity with data • Choosing certain data types results in user-friendly interactive features • Drop-down menus • Check boxes • Hyperlinks • Correctly manipulate data Succeeding in Business with Microsoft Access 2010

  24. Assigning the Correct Field Size for Text Fields • Important to consider field size when assigning data types • Minimize space reserved for each record by assigning smallest data type that will store data • Be conservative when assigning field sizes • But not too conservative Succeeding in Business with Microsoft Access 2010

  25. Assigning the Correct Field Size for Number Fields Succeeding in Business with Microsoft Access 2010

  26. Dividing the Existing and Missing Data into Tables • Tables • Single most important component of database • Most databases contain: • Multiple tables • Hundreds or even thousands of records • Primary key • One field that creates unique value in each record • Used to identify each record in table • May be a combination of fields Succeeding in Business with Microsoft Access 2010

  27. Database Design Process: Planning the Tables Succeeding in Business with Microsoft Access 2010

  28. Naming Conventions • Database tables must • Have unique names • Follow established naming conventions • General rules for naming objects • Object names cannot exceed 64 characters • Object names cannot include period, exclamation point, accent grave, or brackets • Object names should not include spaces • Most developers capitalize first letter of each word when table name includes two words Succeeding in Business with Microsoft Access 2010

  29. Leszynski/Reddick Naming Conventions for Database Objects Succeeding in Business with Microsoft Access 2010

  30. Level 1 Summary • Discovery phase • Identify existing and missing data • Determine tables • Determine data types • Follow naming conventions Succeeding in Business with Microsoft Access 2010

  31. Level 2 Objectives:Understanding and Creating Table Relationships Understand relational database objects and concepts Create table relationships Understand referential integrity Succeeding in Business with Microsoft Access 2010

  32. Understanding Relational Database Objects • Users can view data in tables by: • Opening table • Creating other objects • Four main objects in database • Tables • Queries • Forms • Reports Succeeding in Business with Microsoft Access 2010

  33. Tables • Data in relational database stored in one or more tables • View data in table • Open it and scroll through records • Most of the time, three other main database objects used to display data Succeeding in Business with Microsoft Access 2010

  34. Queries • Query • Question asked about data stored in database • Query results • Look similar to table • Fields displayed in columns • Records displayed in rows Succeeding in Business with Microsoft Access 2010

  35. Queries (continued) • Select query • Most commonly used query • Data selected from table on which query based • Action query • Performs action on table • Select specific records in table and update them • Crosstab query • Performs calculations on values in field and displays results in datasheet Succeeding in Business with Microsoft Access 2010

  36. Forms • Used to view, add, delete, and update records in database • Based on table or query • Interface more attractive than table datasheet • Customize form’s appearance with instructions and command buttons • Switchboard or Navigation form • Form displayed when database opened • Provides controlled method for users to open objects in database Succeeding in Business with Microsoft Access 2010

  37. Form Based on a Table Succeeding in Business with Microsoft Access 2010

  38. Reports • Formatted presentation of data from table or query • Created as printout or to be viewed on screen • Data displayed by report usually based on query • Dynamic • Reflect latest data from object • Cannot be used to modify data Succeeding in Business with Microsoft Access 2010

  39. Accounts Receivable Report Succeeding in Business with Microsoft Access 2010

  40. Other Database Objects • Macro • Set of instructions • Automate certain database tasks • Usually automates simple tasks • Module • Contains instructions to automate database task • Written in Visual Basic for Applications (VBA) • Performs more sophisticated actions than macro Succeeding in Business with Microsoft Access 2010

  41. Understanding Relational Database Concepts • Relational database • Contains multiple tables to store related information • Common field • Field that appears in two or more tables and contains identical data to relate tables • Primary key in first table • Foreign key in second table Succeeding in Business with Microsoft Access 2010

  42. Creating Table Relationships • Goal in good database design • Create separate tables for each entity • Ensure each table has primary key • Use common field to relate tables • Relate two (or more) tables • Query them as though they are one big table • Join • Specifies relationship between tables and properties of relationship Succeeding in Business with Microsoft Access 2010

  43. One-to-Many Relationships • Abbreviated as 1:M • One record in first table matches zero one or many records in related table • Primary table • One side • Related table • Many side Succeeding in Business with Microsoft Access 2010

  44. One-to-Many Relationship Between Customers and Prescriptions Succeeding in Business with Microsoft Access 2010

  45. One-to-One Relationships Abbreviated as 1:1 Exists when each record in one table matches exactly one record in related table Succeeding in Business with Microsoft Access 2010

  46. One-to-One Relationship Between Physical and Billing Addresses Succeeding in Business with Microsoft Access 2010

  47. Many-to-Many Relationships Abbreviated as M:N Each record in first table matches many records in second table Each record in second table matches many records in first table Junction table Succeeding in Business with Microsoft Access 2010

  48. Many-to-Many Relationship Between Employees and Classes Succeeding in Business with Microsoft Access 2010

  49. Understanding Referential Integrity • Null value • Field does not contain any value • Entity integrity • Guarantee that there are no duplicate records in table • Each record unique • No primary key field contains null values • Referential integrity • If foreign key in one table matches primary key in second table • Values in foreign key must match values in primary key Succeeding in Business with Microsoft Access 2010

  50. Understanding Referential Integrity (continued) • When database does not enforce referential integrity • Problems occur that lead to inaccurate and inconsistent data • Orphaned • No longer match between primary key in primary table and foreign keys in related table Succeeding in Business with Microsoft Access 2010

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