Mobile MOUSe MTA DATABASE ADMINISTRATOR FUNDAMENTALS ONLINE COURSE OUTLINE

Mobile MOUSe MTA DATABASE ADMINISTRATOR FUNDAMENTALS ONLINE COURSE OUTLINE

COURSE TITLE MTA DATABASE ADMINISTRATOR FUNDAMENTALS COURSE DURATION 10 Hour(s) of Self-Paced Interactive Training COURSE OVERVIEW MTA Database Administrator Fundamentals is the first step on the path to becoming a Microsoft Certified Database Administrator or Database Developer. This training course prepares students for Microsoft exam 98-364. MTA is a new entry-level credential from Microsoft that validates the foundational knowledge needed to take the first step toward building a successful career in technology. This MTA training will help you become familiar with concepts and technologies pertaining to Database Administration. In this course you will learn about relational databases, queries, stored procedures, and the security requirement for databases and the data stored in them. If a career in database administration is what you are looking for, then this is the first step on your certification journey. Expert Wayne Snyder guides you through each exam objective seamlessly, all the while preparing you for Microsoft exam 98-264. This course provides you with interactive videos that meet the needs of multiple learning styles from auditory to visual. The MTA Database Administrator Fundamentals elearning course includes a pre-test and post-test that accurately identifies your skill gap. Snyder will come in and help you close the skill gap with content concentrating on each exam objective. Achieving MTA certifications is the first step toward becoming a Microsoft Certified Technology Specialist (MCTS). BENEFITS Understand core database concepts like relationships, tables, and SQL (Structured Query Language) Learn to filter, sort, and update data Become familiar with data normalization and the common levels of normalization. CONTACT Website : www.mobilemouse.com.au Email : officeadmin@mobilemouse.com.au Telephone : +961+8+9404 7041 Fax : +961+8+9467 9132 PRICING Contact Mobile MOUSe for pricing. ADVANTAGES OF ONLINE COURSES Session times are at your discretion You can pick and choose which sessions to cover and in any order Learn at your own pace Free repetition (for a period of 6 months) Multiple course levels at a discounted price Many of the courses are internationally accredited Training from the comfort of your home or workstation Training can be accessed from any location

SESSION 1 Section A: Database Tables Tables Representing Data with Tables SQL Server Management Studio Section B: Database Relationships Flat File Databases Relational Databases RDBMS Benefits Related Tables Review Recursive Relationships M:N Relationships Section C: Understanding DML Structured Query Language DDL/DML Data Control Language Section D: Database Data Types Data Types Choosing a Data Type SQL Data Types Integers Exact Numbers Money Data Types Exceeding Data Type Limits Approximate Numerics Character Data Types Variable vs. Fixed Dates and Times Numeric and Alphabetic Date Formats DateTime2(n) ISO 8601 Format DateTimeOffset(n) Section E: Creating and Manipulating Tables Table Types Simple Syntax NULL or NOT NULL Creating a Table Adding Columns using ALTER TABLE Adding Columns with Default Values Changing Columns using ALTER TABLE UNIQUE Constraints Adding UNIQUE Contraints Section F: Selecting Data SELECT Statement Performing a SELECT Selecting Data using Expressions Specifying Column Order and Aliases Special Character Considerations Using Operators and Expressions Schema Defined Character Operators Arithmetic Expressions Using Table Aliases Section G: Filtering Data using Comparisons WHERE Clauses Comparison Operators Logical Operators Using WHERE Clauses Using Comparison Operators Combining using AND Combining using OR and NOT SESSION 2 Section A: Filtering Data using Lists and Ranges Range of Values Selecting a Range of Values Selecting Values in a List Section B: Filtering Data using Pattern Matching Understanding String Pattern Matching String Comparison Operators Using LIKE Operators Percent (%) Wildcards Underscore (_)Wildcards Braces ([]) Wildcards Section C: Filtering Data with NULLs NULLs Defined NULL Handling Section D: Selecting Data using Functions Aggregate Function Types Section E: Sorting Data Sorting Data with ORDER BY Ordinal Column Position Using ORDER BY ORDER BY Ordinal Column Position Section F: Working with Duplicates Eliminating Duplicates Using DISTINCT Section G: Joining Data Introduction to JOINs JOIN Process INNER JOIN INNER JOIN Example Joining Data with Table Aliases INNER JOIN with DISTINCT 8/08/2012 PAGE 1

Section H: OUTER and CROSS JOINs OUTER JOIN Defined OUTER JOIN Example FULL OUTER JOIN Example CROSS JOIN Defined CROSS JOIN Example Section I: Combining and Limiting Result Sets UNIONs UNION ALL vs. UNION UNION Correct Syntax Limiting Rows using TOPN INTERSECT Defined EXCEPT Defined INTERSECT and EXCEPT Example SESSION 3 Section A: Adding Data Inserting Data INSERT Example Inserting Multiple Rows Inserting Partial Values Section B: Updating and Deleting Data Updating Data UPDATE Example Updating Multiple Rows and Columns UPDATE Example Continued Deleting Data DELETE Example Deleting Data using Subqueries Understanding Transactions Creating and Committing a Transaction Section C: Working with Views View Defined View Types Standard Views CREATE VIEW Example Using a View to Rename Columns Filtering Data with Views Creating Views Graphically Section D: Stored Procedures and Functions Stored Procedures Defined SP Parameters and Best Practices CREATE PROC Example Late Binding Using Parameters with Stored Procedures Built-in vs. User-Defined Functions Function Parameters Sample Scalar Function Syntax Proper Function Body Syntax Calling Scalar Functions Table-Valued Functions Scalar Function Example Section E: Data Normalization Database Design Phases Understanding Database Normalization Design Problems Row INSERT Anomalies DELETE Anomalies UPDATE Anomalies Section F: First Normal Form Overview of Normal Forms First Normal Form Rules First Normal Form Example 1 Candidate Keys Defined Primary Keys Defined Non-Prime Attributes Defined First Normal Form Example 2 First Normal Form Anomalies Section G: Second and Third Normal Forms Functional Dependency Defined Second Normal Form Rules Second Normal Form Example Second Normal Form Rules Continued Transitive Dependencies Third Normal Form Section H: Fourth and Fifth Normal Forms BCNF Fourth Normal Form Example Fifth Normal Form Example 8/08/2012 PAGE 2

SESSION 4 Section A: Primary, Foreign, and Composite Keys Primary Keys Defined Foreign Keys Composite Keys Creating a Table with a Primary Key Section B: Clustered Indexes Overview Indexes Improve Table Scans Seek Clustered Index Benefits Data Storage Considerations Clustered Index on a Heap Table Section C: Non-Clustered Indexes Non-Clustered Index Basics Non-Clustered Index on a Heap Table Non-Clustered Index Benefits Index Creation Dropping an Index Non-Indexed Table Execution Plan Indexed Table Execution Plan Section D: Database Security Concepts SQL Security Steps Fixed Server Roles Permissions Hierarchy Adding Database Users Special Database Users Permissions Database Roles Creating a Role Role Usage Section E: Database Backup and Restore SQL Backup Methods Backup Rights and Permissions Backing Up to Disk Backup Frequency Considerations Full Backups Full Back up Syntax Restore vs. Recovery Automatic Recovery Performing a Full Backup Backup with Compression Restore Types Restore Process Simple Restore Section F: Incremental Backups Incremental Backup Usage Incremental Backups Defined Normal Log Backup Backup Log Options Restoring the Log Transaction Log Backup Example Transaction Log Restore Example 8/08/2012 PAGE 3