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MCSE SQL 2012 Data Platform

MCSE SQL 2012 Data Platform

Go beyond the basic mechanics of SQL Server and learn how to create and deploy database solutions for an enterprise-class environment with the MCSE SQL Data Platform course. Once this intensive, hands-on course has been completed, database analysts and developers will have the knowledge and skills required to implement and develop robust and efficient SQL server solutions.

By completing this course students will fully understand the concepts behind Microsoft SQL Server and how to build and query complex database solutions in a real world environment. From the core fundamentals of installing and configuring SQL Server, through to querying data directly using T-SQL and on to building and developing enterprise class data platforms, students will gain a complete understanding of the database system and how it can be extended to meet the data needs of the modern enterprise.

This course is best suited to:

  • SQL Server database developers and analysts who need to know more about the advanced functions included in the platform.
  • Systems administrators and engineers who will be responsible for managing advanced SQL Server deployments.
  • Individuals who want to cross-train for a new career in database management and development.

Using a seamless blend of instructor led videos and self-study resources, the MCSE SQL Data Platform course is delivered online using the learning platform. All course materials are available anyplace anytime so that learners can study whenever and however best suits them. A built-in social networking platform also allows learners to ask questions and share knowledge and experience with their peers, providing additional opportunities for learning.

After completing the course students can expect to boost their job prospects and employability as they acquire new expert-level database management skills and experience in SQL Server.


Using five in-depth modules, participants will learn all the skills and knowledge required to pass the MCSE Data Platform exams and prepare them for a successful career in database management and development.

Early modules cover T-SQL and SQL Server installation and management, before taking students on to learning about enterprise deployment scenarios that use SQL Server data warehousing to provide the back-end infrastructure for BI applications:

  • Mastering data using Master Data Services.
  • Ensuring data accuracy using Data Quality Services to reduce instance of incomplete or duplicate data being collected and saved.
  • Managing, configuring and deploying SQL Server Integration Services (SSIS) packages to automate and extend BI functionality.
  • Perform data manipulation, transformation and integration operations to collate information from multiple sources, including custom applications and third party data stores.
  • Troubleshooting data integration and quality issues to ensure data accuracy for use in reports and line-of-business applications.

Building on the understanding of how SQL Server works, participants will then learn how to extend functionality programmatically:

  • Creating and altering tables, constraints, data types, indexes and scalar functions using T-SQL to further improve data access options.
  • Designing and building advanced solutions that deliver the concurrency, integrity and reliability demanded by enterprise-class database applications, and how to split processing efficiently between servers and clients.
  • Optimising data and data access routines to improve efficiency and resource load balancing ready for use with custom BI applications.
  • Using performance and system information to implement a continual maintenance and improvement program that drives greater efficiency in the long term.

The final module then combines all of the techniques learned so far, applying them to the question of designing and developing database solutions that meet the most demanding business requirements:

  • Using data compression techniques to maximise available storage and bandwidth.
  • Building database models using lock granularity and search strategies to better meet specific business needs.
  • Designing and constructing full-lifecycle database environments that consider expansion, upgrade and migration needs from the outset.
  • Applying automation to streamline management and data processing, reducing administrator workloads.

Students will also study other modules that introduce basic concepts, such as the use of T-SQL to access and manipulate data, and installing and managing the SQL Server database platform. The course ensures that database analysts and designers gain a 360º overview of SQL Server, necessary for building robust BI and data warehousing systems.


Web-accessible course materials allow students to follow the course at their own pace, in their own time, so they are never again “left behind”. The MCSE SQL Server Data Platform course is essential for database developers and analysts who need:

  • An in-depth understanding of SQL Server design principles and how to build suitable database systems using Microsoft technologies.
  • The tools, techniques and knowledge required to access and manipulate data efficiently.
  • The knowledge, skills and techniques required to build powerful applications using SQL Server technologies.
  • Full understanding of the install, configuration and maintenance procedures required to deliver optimum SQL Server performance and reliability.
  • Design, deploy and manage an advanced SQL Server data warehouse that will meet the changing needs of a real world enterprise.

Completion of this course also fully prepares database designers and data analysts for the SQL MCSA/MCSE exams.

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Units of Study

  • Getting Started with SQL Server
  • Working with T-SQL
  • Writing SELECT Queries
  • Working with SQL Data Types
  • Sorting and Filtering Data
  • Querying Data from Multiple Tables
  • Modifying Data
  • Working with SQL Server Built-in Functions
  • Programming in T-SQL
  • Implementing Stored Procedures
  • Working with Subqueries and Table Expressions
  • Working with Set Operators, Conditional Operators, and Window Functions
  • Working with PIVOT, UNPIVOT, and Grouping Sets
  • Managing Error Handling and Transactions
  • Querying SQL Server System
  • Optimizing Query Performance
  • Identifying the SQL Server Platform
  • Deploying SQL Server
  • Configuring SQL Server
  • Managing Databases in SQL Server
  • Managing SQL Server Security
  • Implementing Advanced Security Settings
  • Applying Encryption and Compression
  • Working with Indexes and Log Files
  • Working with Backup and Restore
  • Implementing High Availability
  • Optimizing Server Performance
  • Troubleshooting Issues and Recovering Databases
  • Performing Advanced Database Management Tasks
  • Introduction to Data Warehouse
  • Creating Dimensions and Changing Granularity of Dimensions
  • Creating Fact Tables and ColumnStore Indexes
  • Implementing Data Warehouse in SQL Server
  • Working with Integration Services
  • Managing Control Flow
  • Working with Dynamic Variables
  • Implementing Data Flow
  • Managing Data Flow
  • Managing SSIS Package Execution
  • Debugging and Troubleshooting
  • Deploying Packages
  • Securing Packages and Databases
  • Working with MDS and Windows
  • Introduction to SQL Server 2012
  • Intro To SQL Server 2012 Part1
  • Intro To SQL Server 2012 Part2
  • Management Studio Demo Part1
  • Management Studio Demo Part2
  •  Management Studio Demo Part3
  • Other SQL Server Tools
  • Working with Data Types Part1
  • Working with Data Types Part2
  • Working with Data Types Part3
  • Other Data Types
  • Tables
  • Creating Tables
  • Data Constraints Part1
  • Data Constraints Part2
  • Planning In Indexing Part1
  • Planning In Indexing Part2
  • Planning In Indexing Part3
  • Planning In Indexing Part4
  • Table Structures
  • Working With Clustered Indexes
  • Clustered Indexes
  • Designing Effective Clustered Indexes
  • Improving Performance with NonClustered Indexes Part1
  • Improving Performance with NonClustered Indexes Part2
  • Improving Performance with NonClustered Indexes Part3
  • Using Indexes
  • Execution Plans Part1
  • Execution Plans Demo
  • Execution Plans Part2
  • Working with Views Part1
  • Working with Views Part2
  • Designing and Implementing Stored Procedures Part1
  • Designing and Implementing Stored Procedures Part2
  • Designing and Implementing Stored Procedures Part3
  • Merging Data and Passing Tables Part1
  • Merging Data and Passing Tables Part2
  • Merging Data and Passing Tables Part3
  • DesigningAndImplementingUserFunctions
  • Creating Highly Concurrent SQL Server Applications Part1
  • Creating Highly Concurrent SQL Server Applications Part2
  • Creating Highly Concurrent SQL Server Applications Part3
  • Handling Errors in TSQL Part1
  • Handling Errors in TSQL Part2
  • Triggers
  • Implementing Managed Code Part1
  • Implementing Managed Code Part2
  • Implementing Managed Code Part3
  • Storing XML in SQL Part1
  • Storing XML in SQL Part2
  • Storing XML in SQL Part3
  • Querying XML Part1
  • Querying XML Part2
  • Querying XML Part3
  • Working with the Spatial Data Part1
  • Working with the Spatial Data Part2
  • Working with the Spatial Data Part3
  • Working With FullText Indexes and Queries Part1
  • Working With FullText Indexes and Queries Part2
  • Working With FullText Indexes and Queries Part3
  • Outro
  • Introduction
  • Designing A Database Server Infrastructure Part1
  • Designing A Database Server Infrastructure Part2
  • Designing A Database Server Infrastructure Part3
  • Designing A Database Server Infrastructure Part4
  • Considerations For Database Server Consolidation
  • Managing Server Resources
  • Designing A Logical Database Scheme Part1
  • Designing A Logical Database Scheme Part2
  • Designing A Logical Database Scheme Part3
  • Designing A Logical Database Scheme Part4
  • Designing A Logical Database Scheme Part5
  • Designing A Physical Database Implementation Part1
  • Designing A Physical Database Implementation Part2
  • Designing A Physical Database Implementation part3
  • Incorporating Data Files Into the Database Part1
  • Incorporating Data Files Into the Database Part2
  • Incorporating Data Files Into the Database Part3
  • Incorporating Data Files Into the Database Demo
  • Searching Data Files
  • Searching Data Files Demo
  • Tuning Database Performance Part1
  • Tuning Database Performance Part2
  • Tuning Database Performance Part3
  • Working with Query Plans Part1
  • Working with Query Plans Part2
  • Working with Query Plans Part3
  • Working with Query Plans Part4
  • Desigining Database Security Part1
  • Desigining Database Security Part2
  • Contained Databases
  • Protecting Data with Encryption
  • Policy Based Management
  • Policy Based Management Demo
  • Monitoring Server Health
  • Monitoring Server Health Demo
  • Designing Database Backup Solution Part1
  • Designing Database Backup Solution Part2
  • Designing Database Backup Solution Part3
  • Designing Database Backup Solution Part4
  • Disaster Recovery Plan Part1
  • Disaster Recovery Plan Part2
  • Automating Multi Server Maintenance
  • Managing Multiple Servers
  • Managing SQL Server With Windows Powershell
  • Windows Powershell Lab
  • Replicating Data Part1
  • Replicating Data Part2
  • Replicating Data Part3
  • Planning High Availability Part1
  • Planning High Availability Part2
  • Review of SQL Statements Part1
  • Review of SQL Statements Part2
  • Review of SQL Statements Part3
  • Eleven Rules Of Database Design
  • Conclusion


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Course fee

14-days Money back
  • Lectures 0
  • Quizzes 0
  • Duration 45 hour
  • Skill level All levels
  • Max Students 1000
  • Language English




Online Course


1 Year







1 gigahertz (GHz)


1 GB


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