Login / Register

MCSA SQL Server 2012

Demonstrate your essential skills and breakthrough insights in developing and maintaining the next wave of mission-critical environments. Earning an MCSA: SQL Server certification will qualify you for a position as a dat... Show More
Course Prerequisites:
Candidates should have one to two years of experience using SQL Server 2008 or two to three years of experienc... Show More
Request a Quote

Virtual Instructor-Led Training (V-ILT)

Virtual instruction environments are designed to simulate the traditional classroom or learning experience. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

15 Days or 24 Evenings

Course Schedule

Upcoming dates for MCSA SQL Server 2012

Course Content

Course 20461C:

MCSA: 70-461 Querying Microsoft SQL Server 2012
5 Days or 8 Evenings

Module 1: Introduction to Microsoft SQL Server 2014

This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.

The Basic Architecture of SQL Server
SQL Server Editions and Versions
Getting Started with SQL Server Management Studio

Lab : Working with SQL Server 2014 Tools
Working with SQL Server Management Studio
Creating and Organizing T-SQL scripts
Using Books Online

Module 2: Introduction to T-SQL Querying
This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations.

Introducing T-SQL
Understanding Sets
Predicate Logic
Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to Transact-SQL Querying
Executing Basic SELECT Statements
Executing queries which filter data using predicates
Executing queries which sort data using ORDER BY

Module 3: Writing SELECT Queries
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Writing Simple SELECT Statements
Eliminating Duplicates with DISTINCT
Using Column and Table Aliases
Writing Simple CASE Expressions

Lab : Writing Basic SELECT Statements
Write simple SELECT Statements
Eliminate Duplicates Using Distinct
Use Table and Column Aliases
Use a Simple CASE Expression

Module 4: Querying Multiple Tables
This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from
multiple tables.

Understanding Joins
Querying with Inner Joins
Querying with Outer Joins
Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables
Writing Queries That Use Inner Joins
Writing Queries That Use Multiple-Table Inner Join
Writing Queries That Use Self Joins
Writing Queries That Use Outer Joins
Writing Queries That Use Cross Joins

Module 5: Sorting and Filtering Data
This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.

Sorting Data
Filtering Data with a WHERE Clause
Filtering with the TOP and OFFSET-FETCH Options
Working with Unknown and Missing Values

Lab : Sorting and Filtering Data
Writing Queries That Filter Data Using a WHERE Clause
Writing Queries That Filter Data Using an ORDER BY Clause
Writing Queries That Filter Data Using the TOP Option
Writing Queries That Filter Data Using the OFFSET-FETCH Clause

Module 6: Working with SQL Server 2014 Data Types
This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the
importance of type precedence.

Introducing SQL Server 2014 Data Types
Working with Character Data
Working with Date and Time Data

Lab : Working with SQL Server 2014 Data Types
Writing Queries That Return Date and Time Data
Writing Queries That Use Date and Time Functions
Writing Queries That Return Character Data
Writing Queries That Use Character Functions

Module 7: Using DML to Modify Data
This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.

Inserting Data
Modifying and Deleting Data

Lab : Using DML to Modify Data
Inserting Data
Updating and Deleting Data

Module 8: Using Built-In Functions
This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.

Writing Queries with Built-In Functions
Using Conversion Functions
Using Logical Functions
Using Functions to Work with NULL

Lab : Using Built-In Functions
Write queries which use conversion functions
Write queries which use logical functions
Write queries which test for nullability

Module 9: Grouping and Aggregating Data
This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause
has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

Using Aggregate Functions
Using the GROUP BY Clause
Filtering Groups with HAVING

Lab : Grouping and Aggregating Data
Write queries which use the GROUP BY clause
Write queries which use aggregate functions
Write queries which use distinct aggregate functions
Write queries which filter groups with the HAVING clause

Module 10: Using Subqueries
This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.

Writing Self-Contained Subqueries
Writing Correlated Subqueries
Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries
Write queries which use self-contained subqueries
Write queries which use scalar and multi-result subqueries
Write queries which use correlated subqueries and EXISTS predicate

Module 11: Using Table Expressions
This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.

Using Derived Tables
Using Common Table Expressions
Using Views
Using Inline Table-Valued Functions

Lab : Using Table Expressions
Write Queries Which Use Views
Write Queries Which Use Derived Tables
Write Queries Which Use Common Table Expressions
Write Queries Which Use Inline Table-Valued Functions

Module 12: Using Set Operators
This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

Writing Queries with the UNION Operator

Lab : Using Set Operators

Write queries which use UNION set operators and UNION ALL multi-set operators
Write queries which use CROSS APPLY and OUTER APPLY operators
Write queries which use EXCEPT and INTERSECT operators

Module 13: Using Window Ranking, Offset, and Aggregate Functions
This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as
ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.

Creating Windows with OVER
Exploring Window Functions

Lab : Using Window Ranking, Offset and Aggregate Functions
Write queries which use ranking functions
Write queries which use offset functions
Write queries which use window aggregate functions

Module 14: Pivoting and Grouping Sets
This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.

Writing Queries with PIVOT and UNPIVOT
Working with Grouping Sets

Lab : Pivoting and Grouping Sets
Write queries which use the PIVOT operator
Write queries which use the UNPIVOT operator
Write queries which use the GROUPING SETS subclause

Module 15: Executing Stored Procedures
This module introduces the use of existing stored procedures in a T-SQL querying environment. It discusses the use of EXECUTE, how to pass input and output parameters to a procedure, and how to
invoke system stored procedures.

Querying Data with Stored Procedures
Passing Parameters to Stored Procedures
Creating Simple Stored Procedures
Working with Dynamic SQL

Lab : Executing Stored Procedures
Use the EXECUTE statement to invoke stored procedures
Pass parameters to stored procedures
Execute system stored procedures

Module 16: Programming with T-SQL
This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and
execute dynamic SQL statements, and how to use synonyms.

T-SQL Programming Elements
Controlling Program Flow

Lab : Programming with T-SQL
Declaring Variables and Delimiting Batches
Using Control-of-Flow Elements
Generating Dynamic SQL
Using Synonyms

Module 17: Implementing Error Handling
This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module
will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.

Using TRY / CATCH Blocks
Working with Error Information

Lab : Implementing Error Handling
Redirecting Errors with TRY / CATCH
Using THROW to Pass an Error Message Back to a Client

Module 18: Implementing Transactions
This module introduces the concepts of transaction management in SQL Server. It will provide a high-level overview of transaction properties, cover the basics of marking transactions with BEGIN,

Transactions and the Database Engine
Controlling Transactions
Isolation Levels

Lab : Implementing Transactions
Controlling transactions with BEGIN, COMMIT, and ROLLBACK
Adding error handling to a CATCH block

Module 19: Improving Query Performance
This module presents several key guidelines for writing well-performing queries, as well as ways to monitor the execution of your queries and their impact on Microsoft SQL Server.

Factors in Query Performance
Displaying Query Performance Data

Lab : Improving Query Performance
Viewing Query Execution Plans
Viewing Index Usage and Using SET STATISTICS Statements

Module 20: Querying SQL Server Metadata
SQL Server provides access to structured metadata by using a variety of mechanisms, such as system catalog views, system functions, dynamic management objects, and system stored procedures. In
this module, you will learn how to write queries to return system metadata using these mechanisms.

Querying System Catalog Views and Functions
Executing System Stored Procedures
Querying Dynamic Management Objects

Lab : Querying SQL Server Metadata
Querying System Catalog Views
Querying System Functions
Querying System Dynamic Management Views

Course 20462C:

MCSA:70-462 Administering a Microsoft SQL Server 2012 Database
5 Days or 8 Evenings

Lab : Using SQL Server Administrative Tools
Using SQL Server Management Studio
Using the sqlcmd Utility
Using Windows PowerShell with SQL Server

Module 2: Installing and Configuring SQL Server 2014
This module explains how to assess resource requirements for SQL Server 2014 and how to install it.

Planning SQL Server Installation
Installing SQL Server 2014
Post-Installation Configuration

Lab : Installing SQL Server 2014
Preparing to Install SQL Server
Installing SQL Server
Performing Post-Installation Configuration

Module 3: Working with Databases and Storage
This module describes how data is stored in databases, how to create databases, how to manage database files, and how to move them. Other tasks related to storage, include managing the tempdb
database and using fast storage devices to extend the SQL Server buffer pool cache, are also discussed.

Introduction to Data Storage with SQL Server
Managing Storage for System Databases
Managing Storage for User Databases
Moving Database Files
Configuring the Buffer Pool Extension

Lab :Managing Database Storage
Configuring tempdb Storage
Creating Databases
Attaching a Database

Module 4: Planning and Implementing a Backup Strategy
In this module, you will consider how to create a backup strategy that is aligned with organizational needs,and learn how to perform the backup operations required by that strategy.

Understanding SQL Server Recovery Models
Planning a Backup Strategy
Backing up Databases and Transaction Logs
Using Backup Options
Ensuring Backup Reliability

Lab : Backing Up SQL Server Databases
Backing Up Database
Performing Database, Differential, and Transaction Log Backups
Performing a Partial Backup

Module 5: Restoring SQL Server 2014 Databases
In this module, you will see how to restore user and system databases and how to implement point-in-time recovery.

Understanding the Restore Process
Restoring Databases
Advanced Restore Scenarios
Working with Point-in-Time Recovery

Lab : Restoring SQL Server Databases
Restoring a Database Backup
Restoring Database, Differential, and Transaction Log Backups
Performing a Piecemeal Restore

Module 6: Importing and Exporting Data
In this module, you will briefly explore tools and techniques so that you can import and export data to and from SQL Server.

Introduction to Transferring Data
Importing and Exporting Table Data
Copying or Moving a Database

Lab : Importing and Exporting Data
Using the SQL Server Import and Export Wizard
Using the bcp Utility
Using the BULK INSERT Statement
Using the OPENROWSET Function

Module 7: Monitoring SQL Server 2014
This module explains how to use three of the most commonly used tools: Activity Monitor, dynamic management views and functions (DMVs and DMFs), and Performance Monitor.

Introduction to Monitoring SQL Server
Dynamic Management Views and Functions
Performance Monitor

Lab : Monitoring SQL Server 2014
Collecting Baseline Metrics
Monitoring a Workload

Module 8: Tracing SQL Server Activity
This module describes how to use SQL Server Profiler and SQL Trace stored procedures to capture information about SQL Server, and how to use that information to troubleshoot and optimize SQL
Server workloads.

Tracing SQL Server Workload Activity
Using Traces

Lab : Tracing SQL Server Workload Activity
Capturing a Trace in SQL Server Profiler

Generating Database Tuning Recommendations
Using SQL Trace

Module 9: Managing SQL Server Security

In this module, you will be learn about the core concepts on which the SQL Server security architecture is based, and how to manage security at the server and database levels.

Introduction to SQL Server Security
Managing Server-Level Security
Managing Database-Level Principals
Managing Database Permissions

Lab : Managing SQL Server Security
Managing Server-Level Security
Managing Database-Level Security
Testing Database Access

Module 10: Auditing Data Access and Encrypting Data
This module describes the available options for auditing in SQL Server, how to use and manage the SQL Server audit feature, and how to implement encryption.

Auditing Data Access in SQL Server
Implementing SQL Server Audit
Encrypting Databases

Lab : Auditing Data Access and Encrypting Data
Implementing Auditing
Implementing Transparent Database Encryption

Module 11: Performing Ongoing Database Maintenance
This module describes common database maintenance tasks that a DBA must perform, and demonstrates how to automate these tasks using maintenance plans.

Ensuring Database Integrity
Maintaining Indexes
Automating Routine Database Maintenance

Lab: Performing Ongoing Database Maintenance
Managing Database Integrity
Managing Index Fragmentation
Implementing a Maintenance Plan

Module 12: Automating SQL Server 2014 Management
This module describes how to use SQL Server Agent to automate jobs, how to configure security contexts for jobs, and how to implement multi-server jobs.

Automating SQL Server Management
Implementing SQL Server Agent Jobs
Managing SQL Server Agent Jobs
Managing Job Step Security Contexts
Managing Jobs on Multiple Servers

Lab : Automating SQL Server Management
Creating a Job
Scheduling a Job
Configuring Job Step Security Contexts

Module 13: Monitoring SQL Server 2014 by Using Alerts and Notifications
This module covers the configuration of database mail, alerts, and notifications.

Monitoring SQL Server Errors
Configuring Database Mail
Configuring Operators, Alerts, and Notifications

Lab : Monitoring SQL Server by Using Alerts and Notifications
Configuring Database Mail
Implementing Operators and Notifications
Implementing Alerts

Course 20463C:

MCSA: 70-463 Implementing Data Warehouse with Microsoft SQL Server 2012
5 Days or 8 Evenings

Module 1: Introduction to Data Warehousing
This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing

Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Lab : Exploring a Data Warehousing Solution
Exploring Data Sources
Exploring and ETL Process
Exploring a Data Warehouse

Module 2: Planning Data Warehouse Infrastructure
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

Considerations for Data Warehouse Infrastructure
Planning Data Warehouse Hardware

Lab : Planning Data Warehouse Infrastructure
Planning Data Warehouse Hardware

Module 3: Designing and Implementing a Data Warehouse
This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.

Data Warehouse Design Overview
Designing Dimension Tables
Designing Fact Tables
Physical Design for a Data Warehouse

Lab : Implementing a Data Warehouse
Implement a Star Schema
Implement a Snowflake Schema
Implement a Time Dimension

Module 4: Creating an ETL Solution with SSIS
This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package
Exploring Data Sources
Transferring Data by Using a Data Flow Task
Using Transformations in a Data Flow

Module 5: Implementing Control Flow in an SSIS Package
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency

Lab : Implementing Control Flow in an SSIS Package
Using Tasks and Precedence in a Control Flow
Using Variables and Parameters
Using Containers

Lab : Using Transactions and Checkpoints
Using Transactions
Using Checkpoints

Module 6: Debugging and Troubleshooting SSIS Packages
This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.

Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package

Lab : Debugging and Troubleshooting an SSIS Package
Debugging an SSIS Package
Logging SSIS Package Execution
Implementing an Event Handler
Handling Errors in a Data Flow

Module 7: Implementing a Data Extraction Solution
This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Planning Data Extraction
Extracting Modified Data

Lab : Extracting Modified Data
Using a Datetime Column
Using Change Data Capture
Using the CDC Control Task
Using Change Tracking

Module 8: Loading Data into a Data Warehouse
This module describes the techniques you can use to implement data warehouse load process.

Planning Data Loads
Using SSIS for Incremental Loads
Using Transact-SQL Loading Techniques

Lab : Loading a Data Warehouse
Loading Data from
CDC Output Tables
Using a Lookup Transformation to Insert or Update Dimension Data
Implementing a Slowly Changing Dimension
Using the MERGE Statement

Module 9: Enforcing Data Quality
This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.

Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Cleanse Data

Lab : Cleansing Data
Creating a DQS Knowledge Base
Using a DQS
Project to Cleanse Data
Using DQS in an SSIS Package

Module 10: Master Data Services
Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.

Introduction to Master Data Services
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub

Lab : Implementing Master Data Services
Creating a Master Data Services Model
Using the Master Data Services Add-in for Excel
Enforcing Business Rules
Loading Data Into a Model
Consuming Master Data Services Data

Module 11: Extending SQL Server Integration Services
This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the
fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.

Using Scripts in SSIS
Using Custom Components in SSIS

Lab : Using Custom Scripts
Using a Script Task

Module 12: Deploying and Configuring SSIS Packages
In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages
Creating an SSIS Catalog
Deploying an SSIS Project
Running an SSIS Package in SQL Server Management Studio
Scheduling SSIS Packages with
SQL Server Agent

Module 13: Consuming Data in a Data Warehouse
This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.

Introduction to Business Intelligence
Enterprise Business Intelligence
Self-Service BI and Big Data

Lab : Using a Data Warehouse
Exploring an Enterprise BI Solution
Exploring a Self-Service BI Solution

CTU Training Solutions , Updated: July 5th, 2017

Share with friends

Request a Quote

    Your Name
    Your Surname
    Contact Number
    Your Email
    Which campus would you like to study at?
    Your job title
    Will your training be sponsored?
    How did you hear about CTU?
    The course information above is subject to change without notification due to market trends in the industry, legislation and/or programme version updates. Terms and Conditions

    Join the CTU community

    Join the CTU Community Portal and gain access to superior resources.

    Join for Free