Developing Microsoft SQL Server 2012 Databases Course Overview

To successfully undertake the Developing Microsoft SQL Server 2012 Databases course, students should possess the following minimum prerequisites:

• Basic understanding of database concepts, including what databases are and how they are used.
• Familiarity with the Microsoft Windows operating system and its core functionality.
• Experience with Transact-SQL (T-SQL), including writing simple SELECT statements, INSERT, UPDATE, and DELETE operations.
• Knowledge of relational database concepts, such as tables, primary/foreign keys, and entity-relationship diagrams.
• Exposure to basic programming constructs, like loops and conditional statements, typically acquired through experience with any programming language.
• Prior experience working with any version of SQL Server is beneficial but not mandatory.

Please note that these prerequisites are designed to ensure that you have a foundation upon which the course can build. The course itself will cover more advanced topics and will assume that you are comfortable with the basics as outlined above.

Target Audience for Developing Microsoft SQL Server 2012 Databases

1. This course offers an in-depth exploration of SQL Server 2012 database development for IT professionals.

   
   

2. Target audience for the course Developing Microsoft SQL Server 2012 Databases:

   
   

• Database Developers
• Database Analysts
• SQL Server Programmers
• Database Administrators (DBAs)
• Data Architects
• IT Professionals looking to enhance their SQL Server skills
• System Engineers who manage and maintain SQL Server databases
• Business Intelligence (BI) Developers
• Data Scientists with a focus on data management systems
• Software Developers who integrate SQL Server databases into their solutions
• Technical Consultants providing database solutions and support

Learning Objectives - What you will Learn in this Developing Microsoft SQL Server 2012 Databases?

Introduction to Course Learning Outcomes

Gain in-depth knowledge of SQL Server 2012 database development, from core concepts to advanced techniques, to create well-designed, efficient databases and queries.

Learning Objectives and Outcomes

• Understand the SQL Server 2012 platform, including how to configure services and use the relevant tools for database development.
• Master the use of different data types in SQL Server and learn how to work with character data, convert data types, and utilize specialized data types effectively.
• Design and implement database tables, ensuring proper schema usage and table alterations to suit evolving data storage needs.
• Enforce data integrity by implementing constraints to maintain domain, entity, and referential integrity within the database.
• Develop indexing strategies, including the creation and optimization of clustered and nonclustered indexes, to enhance database performance.
• Comprehend and analyze SQL Server execution plans to optimize query performance and troubleshoot inefficient database operations.
• Design and implement views and stored procedures, focusing on performance considerations and the use of parameterized stored procedures for modular programming.
• Utilize the MERGE statement and TABLE types for advanced data manipulation and to facilitate the passing of table data as parameters.
• Create user-defined scalar and table-valued functions for encapsulating logic within the database and explore alternatives to functions.
• Manage concurrency and transactions effectively in SQL Server applications, understanding locks, isolation levels, and error handling, including the implementation of T-SQL and structured exception handling.
• Respond to data manipulation events using DML triggers and explore advanced trigger concepts to maintain database consistency and logic.
• Implement managed code within SQL Server using SQL CLR integration for tasks that require the capabilities of the .NET framework.
• Store, index, and query XML data efficiently in SQL Server, using XML schemas and XQuery for complex data interactions.
• Work with SQL Server spatial data, understanding spatial data types and employing them in applications for location-based data analysis.
• Implement and query full-text indexes in SQL Server to facilitate sophisticated text search capabilities within database applications.