MCSE: Data Management and Analytics  Course overview

Earning an MCSE:Data Management and Analytics certification qualifies you for a position as a network or computer systems administrator or as a computer network specialist, and it is the first step on your path to becoming a Microsoft Certified Solutions Expert (MCSE).

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Developing Microsoft SQL Server Databases (20464)

Designing Database Solutions for SQL Server (20465)

Implementing Data Models and Reports with Microsoft SQL Server (20466)

Designing Business Intelligence Solutions With Microsoft SQL Server (20467)

COURSES TO COMPLETE THIS CERTIFICATION

Module 1: Introduction to Database Development

Lessons
• Introduction to the SQL Server Platform
• SQL Server Database Development Tasks
Lab: Introduction to Database Development

Module 2: Designing and Implementing Tables

Lessons
• Designing Tables
• Data Types
• Working with Schemas
• Creating and Altering Tables
• Partitioning Data
• Compressing Data
Lab: Designing and Implementing Tables

Module 3: Ensuring Data Integrity through Constraints

Lessons
• Enforcing Data Integrity
• Implementing Domain Integrity
• Implementing Entity and Referential Integrity
Lab: Ensuring Data Integrity through Constraints

Module 4: Introduction to Indexing

Lessons
• Core Indexing Concepts
• Data Types and Indexes
• Single Column and Composite Indexes
Lab: Implementing Indexes

Module 5: Designing Optimized Index Strategies

Lessons
• Covering Indexes
• Managing Indexes
• Working with Execution Plans
• Using the DTE
Lab: Designing Optimized Index Strategies

Module 6: Columnstore Indexes

Lessons
• Introduction to Columnstore indexes
• Creating Columnstore Indexes
• Working with Columnstore Indexes
Lab: Using Columnstore Indexes

Module 7: Designing and Implementing Views

Lessons
• Introduction to Views
• Creating and Managing Views
• Performance Considerations for Views
Lab: Designing and Implementing Views

Module 8: Designing and Implementing Stored Procedures

Lessons
• Introduction to Stored Procedures
• Working With Stored Procedures
• Implementing Parameterized Stored Procedures
• Controlling Execution Context
Lab: Designing and Implementing Stored Procedures

Module 9: Designing and Implementing User-Defined Functions

Lessons
• 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

Module 10: Responding to Data Manipulation via Triggers

Lessons
• Designing DML Triggers
• Implementing DML Triggers
• Advanced Trigger Concepts
Lab: Responding to Data Manipulation via Triggers

Module 11: Using In-Memory Tables

Lessons
• In-Memory Tables
• Native Stored Procedures
Lab: In-Memory OLTP

Module 12: Implementing Managed Code in SQL Server 2014

Lessons
• Introduction to SQL CLR Integration
• Importing and Configuring Assemblies
• Implementing SQL CLR Integration
Lab: Implementing Managed Code in SQL Server 2014

Module 13: Storing and Querying XML Data in SQL Server

Lessons
• 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 2014

Module 14: Working with SQL Server 2014 Spatial Data

Lessons
• Introduction to Spatial Data
• Working with SQL Server Spatial Data Types
• Using Spatial Data in Applications
Lab: Working with SQL Server Spatial Data

Module 15: Incorporating Data Files into Databases

Lessons
• Querying Data with Stored Procedures
• Implementing FILESTREAM and File Tables
• Searching Data Files
Lab: Implementing a Solution for Storing Data Files

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.

Lessons

  • Considerations for Enterprise Data
  • Assessing an Existing Infrastructure

Lab : Assessing an Existing Enterprise Data Infrastructure

After completing this module, you will be able to:

  • Describe the considerations for enterprise data infrastructure.
  • Use the MAP Toolkit to assess an existing enterprise data environment.

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.

Lessons

  • Policy-Based Management
  • Microsoft System Center

Lab : Planning and Implementing Policy-Based Management

After completing this module, you will be able to:

  • Implement Policy-Based Management
  • Describe how System Center can be used to manage database infrastructure

Module 3: Monitoring SQL Server 2014 Health

This module describes Data Collector and the SQL Server Utility Control Point (UCP), two features of SQL Server 2014 that enable you to perform in-depth health monitoring across the enterprise.

Lessons

  • Introduction to Health Monitoring
  • Data Collector
  • SQL Server Utility

Lab : Monitoring SQL Server Health

After completing this module, you will be able to:

  • Describe the options for multi-server health monitoring in SQL Server 2014.
  • Describe and configure Data Collector.
  • Describe and configure SQL Server Utility.

Module 4: 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.

Lessons

  • Considerations for Database Server Consolidation
  • Managing Resources in a Consolidated Database Infrastructure

Lab : SQL Server Consolidation

After completing this module, you will be able to:

  • Describe the considerations for consolidating databases and database servers.
  • Explain the options for managing resources in various consolidation scenarios.

Module 5: 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.

Lessons

  • Overview of Cloud Computing
  • SQL Server in a Private Cloud

Lab : Preparing a SQL Server Installation in a Virtual Machine Template

After completing this module, you will be able to:

  • Explain the fundamental concepts behind cloud computing, and describe the technologies that underpin Microsoft cloud solutions.
  • Describe how to provide SQL Server based data services in a private cloud infrastructure.

Module 6: 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.

Lessons

  • High Availability Concepts and Options in SQL Server 2014
  • Log Shipping

Lab : Using Log Shipping

After completing this module, you will be able to:

  • Describe the core concepts and options for implementing high availability in SQL Server 2014.
  • Describe how to implement high availability for individual databases by using log shipping.

Module 7: 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.

Lessons

  • Introduction to Windows Server Failover Clustering
  • SQL Server AlwaysOn Failover Cluster Instances

Lab : Implementing an AlwaysOn Failover Cluster Instance

After completing this module, you will be able to:

  • Describe the key benefits and features of Windows Server Failover Clustering.
  • Describe how to use SQL Server AlwaysOn Failover Cluster Instances to maintain high availability for SQL Server instances.

Module 8: 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.

Lessons

  • Introduction to AlwaysOn Availability Groups
  • Working with AlwaysOn Availability Groups
  • Considerations for Using AlwaysOn Availability Groups

Lab : Implementing and Testing an AlwaysOn Availability Group

After completing this module, you will be able to:

  • Describe the fundamental concepts and terminology for AlwaysOn Availability Groups.
  • Explain how work with AlwaysOn Availability Groups.

Module 9: 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.

Lessons

  • High Availability and Disaster Recovery with SQL Server 2014
  • SQL Server High Availability and Disaster Recovery Solutions

Lab : Planning High Availability and Disaster Recovery

After completing this module, you will be able to:

  • Explain the considerations for implementing high availability and disaster recovery by using SQL Server 2014, and describe some common scenarios.
  • Explain the considerations for implementing high availability and disaster recovery by using SQL Server 2014 and Microsoft Azure services, and describe some common scenarios.

Module 10: 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.

Lessons

  • SQL Server Replication
  • Planning Replication

Lab : Planning and Implementing Replication

After completing this module, you will be able to:

  • Describe SQL Server replication.
  • Identify an appropriate replication solution for a particular scenario.

Module 1: Introduction to Business Intelligence and Data Modeling

As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.

Lessons

  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform

Lab : Exploring a BI Solution

After completing this module, you will be able to:

  • Describe the elements of a typical BI solution.
  • Select appropriate Microsoft technologies for a BI solution.
  • Describe key considerations for planning a BI project.

Module 2: Creating Multidimensional Databases

This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.

Lessons

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security

Lab : Creating a Multidimensional Database

After completing this module, you will be able to:

  • Describe the considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube.
  • Implement security in a multidimensional database.

Module 3: Working with Cubes and Dimensions

This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.

Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies

Lab : Working with Cubes and Dimensions

After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.
  • Sort and group attributes.

Module 4: Working with Measures and Measure Groups

This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.

Lessons

  • Working with Measures
  • Working with Measure Groups

Lab : Configuring Measures and Measure Groups

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.

Module 5: Introduction to MDX

This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.

Lessons

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Lab : Using MDX

After completing this module, you will be able to:

  • Describe MDX.
  • Add calculations to a cube.
  • Describe how to use MDX in client applications.

Module 6: Customizing Cube Functionality

This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

Lessons

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab : Customizing a Cube

After completing this module, you will be able to:

  • Implement Key Performance Indicators.
  • Implement Actions.
  • Implement Perspectives.
  • Implement Translations.

Module 7: Implementing an Analysis Services Tabular Data Model

This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.

Lessons

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Implementing an Analysis Services Tabular Data Model

After completing this module, you will be able to:

  • Describe Analysis Services tabular data model projects.
  • Implement an Analysis Services tabular data model.
  • Use an Analysis Services tabular data model.

Module 8: Introduction to Data Analysis Expression (DAX)

This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.

Lessons

  • DAX Fundamentals
  • Using DAX to Create calculated Columns and Measures in a Tabular Data Model

Lab : Creating Calculated Columns and Measures by using DAX

After completing this module, you will be able to:

  • Describe the fundamentals of DAX.
  • Use DAX to create calculated columns and measures.

Module 9: Implementing Reports with SQL Server Reporting Services

This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.

Lessons

  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters

Lab : Creating a Report with Report Designer

After completing this module, you will be able to:

  • Describe the key features of Reporting Services.
  • Use Report Designer to create a report.
  • Group and aggregate data in a report.
  • Publish and view a report.

Module 10: Automating Report Execution and Delivery

This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.

Lessons

  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services

Lab : Implementing Report Subscriptions

After completing this module, you will be able to:

  • Configure security settings for a report server.
  • Configure report execution settings to optimize performance.
  • Use subscriptions and alerts to automate report and data delivery.
  • Troubleshoot reporting issues.

Module 11: Delivering BI with SharePoint PerformancePoint Services

This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

Lessons

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services

Lab : Implementing PerformancePoint Services

After completing this module, you will be able to:

  • Describe SharePoint Server as a BI platform.
  • Use PerformancePoint Services to deliver BI functionality.
  • Configure PerformancePoint Data Sources.
  • Create Reports, Scorecards, and Dashboards.

Module 12: Performing Predictive Analysis with Data Mining

This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

Lessons

  • Overview of Data Mining
  • Using the Data Mining Add-in for Excel
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming Data Mining Data

Lab : Using Data Mining to Support a Marketing Campaign

After completing this module, you will be able to:

  • Describe the key data mining concepts and use the Data Mining Add-ins for Excel.
  • Create a data mining solution.
  • Validate data mining models.
  • Use data mining data in a report.

Module 1: Planning a BI Solution

This module enables students to plan the components of a BI Solution.

Lessons

  • Elements of a BI Solution
  • Planning a BI Project
  • The Microsoft BI Platform

Lab : Planning BI Solutions

After completing this module, you will be able to:

  • Describe the components of a BI Solution.
  • Identify the components of a BI Solution.
  • Plan a BI Project.

Module 2: Planning SQL Server Business Intelligence Infrastructure

This module describes how to use plan appropriate BI Infrastructure given a set of BI Parameters.

Lessons

  • Considerations of BI Infrastructure
  • Planning Data Warehouse Hardware

Lab : Planning BI Infrastructure

After completing this module, you will be able to:

  • Describe the components of a BI Infrastructure and where you would use them.
  • Plan for the hardware requirements of a data warehouse implementation.

Module 3: Designing a Data Warehouse

This module describes how to design a data warehouse given a set of user requirements.

Lessons

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Design FACT tables

Lab : Designing a Data Warehouse Logical Schema

After completing this module, you will be able to:

  • Design a data warehouse.
  • Design dimension tables.
  • Design Fact tables.
  • Design a logical schema for a data warehouse.

Module 4: Designing an ETL solution

This lesson describes how to design an extract, transform and load (ETL) solution.

Lessons

  • ETL Overview
  • Planning for Data Extraction
  • Planning for Data Transformations
  • Planning for Data Loading

Lab : Designing an ETL Solution

After completing this module, you will be able to:

  • Describe the components of an ETL solution.
  • Design an ETL solution.

Module 5: Designing Analytical Data Models

This module describes how to design analytical data models for specific BI scenarios.

Lessons

  • Introduction to Analytical data Models
  • Designing Analytical Data Models

Lab : Designing Analytical Data ModelLab : Designing Dimensions and Hierarchies

After completing this module, you will be able to:

  • Describe the features of an analytical data model.
  • Design an analytical data model.

Module 6: Planning a BI Delivery Solution

This module describes how to choose an appropriate delivery solution for a given scenario.

Lessons

  • Considerations for BI delivery
  • Common Reporting Scenarios
  • Choosing a Reporting Tool

Lab : Planning a BI Delivery Solution

After completing this module, you will be able to:

  • Describe the components of a BI delivery solution.
  • Describe some common reporting scenarios.
  • Choose an appropriate delivery solution for a given scenario.

Module 7: Designing a Reporting Services Solution

This module describes how to design a reporting services solution.

Lessons

  • Planning a Reporting Solution
  • Designing Reports
  • Planning Report Consistency

Lab : Designing a Reporting Services Solution

After completing this module, you will be able to:

  • Plan for a reporting Services solution.
  • Design reports for a reporting services solutions.
  • Plan for consistency of reporting

Module 8: Designing an Excel Based reporting Solution

In this module students will learn how to design a reporting solution using Excel.

Lessons

  • Using Excel for Data Reporting and Analysis
  • PowerPivot in Excel
  • Power View in Excel

Lab : Designing and Excel Reporting Solution

After completing this module, you will be able to:

  • Describe key features of excel reporting solutions.
  • Use PowerPivot in Excel to create reports.
  • Use Power View in excel to create reports.

Module 9: Planning a SharePoint Server BI Solution

This module introduces the use of SharePoint Server as a BI solution.

Lessons

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning Reporting Services Configuration
  • Planning PowerPivot Configuration
  • Planning for PerformancePoint Services

Lab : Implementing a SharePoint Server BI SolutionLab : Implementing PerformancePoint Services

After completing this module, you will be able to:

  • Describe the components of a SharePoint Server BI solution.
  • Plan security for a SharePoint Server BI solution.
  • Plan reporting solutions for a SharePoint Server BI solution.
  • Describe the components of a PerformancePoint Solution.
  • Implement PerformancePoint services.

Module 10: Monitoring and Optimizing a BI Solution

At the conclusion of this module you will be able to optimize and monitor a BI solution.

Lessons

  • Overview of BI Monitoring
  • Monitoring and Optimizing the Data Warehouse
  • Monitoring and Analyzing Analysis Services
  • Monitoring and Optimizing Reporting Services

Lab : Monitoring and Optimizing a BI Solution

After completing this module, you will be able to:

  • Describe the options for monitoring and optimizing a BI solution.
  • Be able to monitor and optimize a BI solution.

Module 11: Operating a BI Solution

At the conclusion of this module you will be able to plan management and maintenance operations of a BI solution.

Lessons

  • Overview of BI Operations
  • ETL Operations
  • Data Warehouse Operations
  • Analysis Services Operations
  • Reporting Services Operations

Lab : Operating a BI Solution

After completing this module, you will be able to:

  • Describe the components to be managed in a BI Solution.
  • Be able to manage the components of a BI solution.

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