MCSE: 70-464 Developing Microsoft SQL Server 2012 Databases
Module 1: Introduction to Database Development
This module introduces database development and the key tasks that a database developer would typically perform.
Introduction to the SQL Server Platform
Working with SQL Server Tools
Configuring SQL Server Services
Lab : Introduction to Database Development
Start SQL Server Management Studio
Module 2: Designing and Implementing Tables
This module explains how to design, create, and alter tables. Also it focusses on working with schemas.
Working with Schemas
Creating and Altering Tables
Lab : Designing and Implementing Tables
Improving the Design of Tables
Creating a Schema
Creating the Tables
Module 3: Ensuring Data Integrity through Constraints
This module explains how to enforce data integrity, and implement domain integrity to maintain high quality data. Also it focusses on implementing Entity and Referential Integrity.
Enforcing Data Integrity
Implementing Domain Integrity
Implementing Entity and Referential Integrity
Lab : Ensuring Data Integrity through Constraints
Testing the constraints
Module 4: Introduction to Indexing
This module describes the concept of an index and discusses selectivity, density and statistics. It covers
appropriate data type choices and choices around composite index structures.
Core Indexing Concepts
Single Column and Composite Indexes
SQL Server Table Structures
Working with Clustered Indexes
Lab : Creating Indexes
Creating Tables with Clustered Indexes
Improving Performance through Nonclustered Indexes
Module 5: Advanced Indexing
This module explains covering indexes and the INCLUDE clause as well as the use of padding, hints and statistics. The module also covers the use of the Database Engine Tuning Advisor and index-related dynamic management views to assess indexing strategies.
Execution Plan Core Concepts
Common Execution Plan Elements
Working with Execution Plans
Designing Effective Nonclustered Indexes
Lab : Planning for SQL Server 2014 Indexing
Exploring Existing Index Statistics
Creating Covering Indexes
Module 6: Columnstore Indexes
This module explains columnstore indexes, introduces clustered and nonclustered columnstore indexes, and discusses considerations for using columnstore indexes.
Best Practices for Columnstore Indexes
Lab : Using In-Memory Database Capabilities
Creating Columnstore Indexes
Module 7: Designing and Implementing Views
This module introduces Views, and explains how to create and manage Views. Also it focusses on the performance consideration for Views.
Introduction to Views
Creating and Managing Views
Performance Considerations for Views
Lab : Designing and Implementing Views
Designing, Implementing and Testing the WebStock Views
Designing and Implementing the Contacts View
Modifying the AvailableModels View
Module 8: Designing and Implementing Stored Procedures
This module describes the potential advantages of the use of stored procedures along with guidelines on creating them.
Introduction to Stored Procedures
Working With Stored Procedures
Implementing Parameterized Stored Procedures
Controlling Execution Context
Lab : Designing and Implementing Stored Procedures
Creating stored procedures
Creating a parameterized stored procedure
Altering the execution context of stored procedures
Module 9: Designing and Implementing User-Defined Functions
This module explains how to design and implement user-defined functions that enforce business rules or data
consistency, and modify and maintain existing functions written by other developers.
Overview of Functions
Designing and Implementing Scalar Functions
Designing and Implementing Table-Valued Functions
Implementation Considerations for Functions
Alternatives to Functions
Lab : Designing and Implementing User-Defined Functions
Formatting Phone Numbers
Modifying an Existing Function
Resolving a Function-Related Performance Issue
Module 10: Responding to Data Manipulation via Triggers
This module, explains what DML triggers are and how they enforce data integrity. Also it focusses on the different types of triggers available, and how to define triggers in a database.
Designing DML Triggers
Implementing DML Triggers
Advanced Trigger Concepts
Lab : Responding to Data Manipulation via Triggers
Creating and Testing the Audit Trigger
Improving the Audit Trigger
Module 11: Using In-Memory Tables
This module covers the creation of in-memory tables and native stored procedures and discusses the advantages and disadvantages of using in-memory tables.
Native Stored Procedures
Lab : Using In-Memory Database Capabilities
Working with Memory Optimized Tables
Working with Natively Compiled Stored Procedures
Module 12: Implementing Managed Code in SQL Server
This module explains how to use CLR integrated code to create user-defined database objects that are managed by the .NET Framework.
Introduction to SQL CLR Integration
Importing and Configuring Assemblies
Implementing SQL CLR Integration
Lab : Implementing Managed Code in SQL Server
Assessing Proposed CLR Code
Implementing a CLR Assembly
Implementing a CLR User-defined Aggregate and CLR User-defined Data Type
Module 13: Storing and Querying XML Data in SQL Server
This module introduces XML and shows how XML data can be stored within SQL Server and then queried, including queries written in a language called XQuery.
Introduction to XML and XML Schemas
Storing XML Data and Schemas in SQL Server
Implementing the XML Data Type
Using the T-SQL FOR XML Statement
Getting Started with XQuery
Lab : Storing and Querying XML Data in SQL Server
Assessing appropriate Use of XML Data in SQL Server
Testing XML Data Storage in Variables
Retrieving Information about XML Schema Collections
Querying SQL Server Data as XML
Write a Stored Procedure Returning XML
Module 14: Working with SQL Server Spatial Data
This module introduces Spatial Data, and explains how to work with SQL Server Spatial Data Types.
Introduction to Spatial Data
Working with SQL Server Spatial Data Types
Using Spatial Data in Applications
Lab : Working with SQL Server Spatial Data
Querying the Geometry Data Type
Adding Spatial Data to an Existing Table
MCSA: 70-465 Designing Database Solutions for SQL Server 2012
Module 1: Introduction to Enterprise Data Architecture
As organizations grow to enterprise scale, their IT infrastructure requirements become more complex and the network environment often includes an increasing number of servers, client computers, network segments, and other components. Because data is fundamental to most IT operations, careful thought must be given to the provisioning and management of databases across the enterprise.
Considerations for Enterprise Data
Assessing an Existing Infrastructure
Lab : Assessing an Existing Enterprise Data Infrastructure
Using the MAP Toolkit
Reviewing MAP Toolkit Reports
Module 2: Multi-Server Configuration Management
When an enterprise infrastructure includes multiple database servers, it can be useful to standardize and enforce configuration settings in order to ensure compliance and manageability. This module discusses Policy-Based Management in SQL Server, and describes how it can be used together with enterprise configuration management tools such as Microsoft System Center to aid enterprise database server management.
Microsoft System Center
Lab : Planning and Implementing Policy-Based Management
Planning a Policy-Based Management Strategy
Implementing Policy-Based Management
Testing Policy Compliance
Module 3: Consolidating Database Workloads with SQL Server 2014
This module provides an overview of the benefits of consolidating database workloads by using SQL Server 2014, and describes the different options for implementing a consolidation strategy. It also describes how you can manage a consolidated infrastructure in various scenarios.
Considerations for Database Server Consolidation
Managing Resources in a Consolidated Database Infrastructure
Lab : SQL Server Consolidation
Preparing for Database Consolidation
Managing Resources for an Instance of SQL Server
Managing Resources for Multiple Instances on a Windows Server
Module 4: Introduction to Cloud Data Solutions
Cloud computing has risen to prominence very rapidly within the world of IT, and many organizations have implemented or are planning to implement cloud-based solutions that encompass all or part of their infrastructure. This module describes some of the fundamental concepts of cloud computing and outlines how to include SQL Server 2014 in a private cloud infrastructure.
Overview of Cloud Computing
SQL Server in a Private Cloud
Lab : Preparing a SQL Server Installation in a Virtual Machine Template
Creating a prepared Instance
Completing a prepared Instance
Module 5: Introduction to Microsoft Azure
Cloud computing has risen to prominence very rapidly within the world of IT, and many organizations have implemented or are planning to implement cloud-based solutions that encompass all or part of their infrastructure. This module describes some of the fundamental concepts of cloud computing and outlines some of the important technologies, such as Microsoft Azure services, that organizations can use to build a cloud-based platform for SQL Server 2014.
Microsoft Azure Overview
Microsoft Azure Storage
Lab : Using Microsoft Azure
Creating a Microsoft Azure Storage Account
Backing Up a Database to Microsoft Azure
Module 6: Microsoft Azure SQL Database
Microsoft’s cloud platform includes Microsoft Azure SQL Database, which you can use to use SQL Server to host your databases without having to take on the responsibility of managing SQL Server itself, or the operating system that supports it. This module describes Microsoft Azure SQL Database, including how to provision it, how to implement security, how to manage databases and how to migrate databases to Microsoft Azure SQL Database.
Introduction to Microsoft Azure SQL Database
Microsoft Azure SQL Database Security
Implementing and Managing Databases
Lab : Using Microsoft Azure SQL Database
Provisioning Microsoft Azure SQL Database
Configuring Microsoft Azure SQL Database Security
Migrating a Database to Microsoft Azure SQL Database
Module 7: SQL Server in Microsoft Azure Virtual Machines
Using virtual machines in Microsoft Azure to host SQL Server instances and databases enables you to take advantage of the benefits of the cloud whilst retaining greater control over the infrastructure than you can when using
Microsoft Azure SQL Database. This module explains the benefits and considerations for using virtual machines in Microsoft Azure. It also describes how to create and configure virtual machines in Microsoft Azure, and how to work with SQL Server databases in virtual machines in Microsoft Azure.
Introduction to Microsoft Azure Virtual Machines
Microsoft Azure Virtual Machine Connectivity and Security
Creating Databases in a Microsoft Azure Virtual Machine
Lab : Using Microsoft Azure Virtual Machines
Creating a Microsoft Azure Virtual Machine
Configuring Microsoft Azure Virtual Machines Security and Connectivity
Creating Databases on a Virtual Machine
Module 8: Introduction to High Availability in SQL Server 2014
Maintaining highly available database services is vital in a 24 hour operating environment. SQL Server 2014
includes many features that can help organizations to deliver the levels of service they require to drive their
businesses. This module explains the different ways that you can implement high availability by using SQL Server 2014. It also describes how to use log shipping to promote resilience for individual user databases.
High Availability Concepts and Options in SQL Server 2014
Lab : Using Log Shipping
Configure Log Shipping
Test the Log Shipping Configuration
Module 9: Clustering with Windows Server and SQL Server 2014
SQL Server 2014 is closely integrated with the Windows Server Failover Clustering feature in Windows Server 2012 and Windows Server 2012 R2, enabling you to create enterprise-class clustering solutions that can deliver comprehensive high availability and disaster recovery solutions. This module explains how Windows Server Failover Clustering and SQL Server AlwaysOn Failover Cluster Instances work, and describes how to implement clustering to protect service availability.
Introduction to Windows Server Failover Clustering
SQL Server AlwaysOn Failover Cluster Instances
Lab : Implementing an AlwaysOn Failover Cluster Instance
Inspect the Windows Server Failover Cluster Configuration
Install an AlwaysOn Failover Cluster Instance
Configure tempdb to Use Local Storage
Test Automatic Failover and Failback
Module 10: AlwaysOn Availability Groups
SQL Server 2014 includes AlwaysOn Availability Groups to provide high availability for groups of databases. This
module describes AlwaysOn Availability Groups in SQL Server 2014, explains the key concepts of AlwaysOn Availability Groups, and describes how you can use them to maintain highly available databases.
Introduction to AlwaysOn Availability Groups
Working with AlwaysOn Availability Groups
Considerations for Using AlwaysOn Availability Groups
Lab : Implementing and Testing an AlwaysOn Availability Group
Implementing an AlwaysOn Availability Group
Connecting to an AlwaysOn Availability Group
Configure Quorum Voting
Module 11: Planning High Availability and Disaster Recovery
This module describes the planning considerations for high availability and disaster recovery, and provides common implementation scenarios for on-premises, hybrid, and Microsoft Azure environments.
High Availability and Disaster Recovery with SQL Server 2014
High Availability and Disaster Recovery for Databases in Microsoft Azure
Lab : Planning High Availability and Disaster Recovery
Planning High Availability and Disaster Recovery Solutions with SQL Server 2014
Planning High Availability and Disaster Recovery Solutions by Using Microsoft Azure
Module 12: Replicating Data SQL
Server replication enables you to copy and distribute data and database objects to other computers and locations in your enterprise, which can improve availability and scalability. This module provides an overview of SQL Server replication and explains the agents used to implement replication. It also describes some common replication scenarios, how to design an appropriate replication system for your requirements, and how to monitor and troubleshoot replication.
SQL Server Replication
Lab : Planning and Implementing Replication