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During this course you'll learn how to implement and design data models, create reports and visualisations - using SQL Server Reporting Services, SharePoint and Excel. You'll also learn key skills to work with Windows Azure HDInsight and manage unstructured data.
Your course package is designed to provide maximum learning and convenience. This is included in the price of your course:
Your expert instructor will get you ready for the following exams and certifications, which are included in your course package and covered by the Certification guarantee.
Our course participants come from varied backgrounds and have different attributes.
To make sure you have the best possible chances of benefitting from the course, we are available for you to discuss your goals and general expectations to your learning and results.
Generally though, we do recommend that you have the following prerequisites:
In addition to your professional experience, you must have the following Microsoft certifications (MCSA: SQL Server):
-70-461: MCTS - Querying Microsoft SQL Server
-70-462: MCTS - Administering Microsoft SQL Server Databases
-70-463: MCTS - Implementing a Data Warehouse with Microsoft SQL Server
You must have:
- Minimum two years of experience of working with relational databases, including:
- Designing a normalised database
- Creating tables and relationships
- Querying with Transact-SQL
- Fundamental knowledge of data warehouse schema topology (including star and snowflake schemas)
- Exposure to basic programming constructs (such as looping and branching)
Awareness of key business priorities such as revenue, profitability, and financial accounting is also recommended.
Using our engaging learning methodology including a variety of tools, we’ll cover the entire curriculum.
Course 20466D: Implementing Data Models and Reports with SQL Server 2014
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: Customising 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 : Customising 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 optimise 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.
- Course 20467D: Designing Business Intelligence Solutions with Microsoft SQL Server 2014
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 BI 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 Model
Lab : 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 Solution
Lab : 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 Optimising a BI Solution
At the conclusion of this module you will be able to optimise and monitor a BI solution.
Lessons
- Overview of BI Monitoring
- Monitoring and Optimising the Data Warehouse
- Monitoring and Analysing Analysis Services
- Monitoring and Optimising Reporting Services
Lab : Monitoring and Optimising a BI Solution
After completing this module, you will be able to:
- Describe the options for monitoring and optimising a BI solution.
- Be able to monitor and optimise 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.
The Virtual Classroom is an online room, where you will join your instructor and fellow classmates in real time. Everything happens live and you can interact freely, discuss, ask questions, and watch your instructor present on a whiteboard, discuss the courseware and slides, work with labs, and review.
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