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Microsoft - MCSE: Business Intelligence (SQL Server)

Duration

Duration:

Only 6 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

28/9/2020 (Monday)

Overview

MCSE Business Intelligence

Learn how to implement a Business Intelligence platform for Microsoft SQL Server on this accelerated MCSE Business Intelligence course 50% faster than traditional training.

Your MCSE Business Intelligence course has updated official courseware, to include training for SQL Server 2014. This complements the SQL Server 2012 content that is already within the curriculum. What you learn on this course will be applicable to both SQL Server 2012 and 2014.

Learn advanced SQL Server functionality

In just six days 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.

Learn how to create a data warehouse with SQL Server 2014, and also find out more about:

  • Implementing multi-dimensional models
  • Implementing tabular data models
  • Querying with MDX and DAX
  • Creating and managing reports
  • Visualising data with Excel
  • Delivering a self-service reporting environment
  • Implement and Process BigData in Windows Azure HDInsight

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online MCSE Business Intelligence courses
  2. You'll be MCSE Business Intelligence certified in just 6 days. With us, you’ll be MCSE Business Intelligence trained in record time
  3. Our MCSE Business Intelligence course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  4. Pass MCSE Business Intelligence first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. You’ll learn MCSE Business Intelligence faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying MCSE Business Intelligence with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 75924 professionals, and we’re partners with all of the big names in the business

Benefits

Use your free Microsoft training vouchers

You may be entitled to heavily-discounted training via Microsoft's Software Assurance Training Voucher (SATV) scheme. If your business has bought Microsoft software, check to see if it came bundled with free training vouchers! Vouchers can be exchanged against training for all Microsoft technologies. If you’re unsure, get in touch with us

Benefits of Training with Firebrand

  • Two options of training - Residential classroom-based, or online courses
  • A purpose-built training centre – get access to dedicated Pearson VUE Select facilities
  • Certification Guarantee – pass first time or train again free (just pay for accommodation, exams and incidental costs)
  • Everything you need to certify – you’ll sit your exam on the course and return home certified
  • No hidden extras – one cost covers everything you need to certify

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.

Exam Track

You'll sit the following exams:

  • Exam 70-466: Implementing Data Models and Reports with Microsoft SQL Server
  • Exam 70-467: Designing Self-Service Business Intelligence and Big Data Solutions

Do you already have a SQL Server 2008 certification? If so, you may be able to take fewer exams on this course before you get your certification. Call us on
+44 207 907 1120 to find out more.

What's Included

Microsoft Official Curriculum

  • MOC 20466D – Implementing Data Models and Reports with Microsoft SQL Server
  • MOC 20467D – Designing Business Intelligence Solutions with Microsoft SQL Server 2014
  • Delivering Business Intelligence with Microsoft SQL Server 2012 3rd Edition ISBN: 9780071759380

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free (just pay for accommodation, exams and incidental costs)

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.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 75924 students and asked them all to review our Accelerated Learning. Currently, 96.75% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"Firebrand gave me the opportunity to focus on my training by providing a good environment for studying, lectures which focused on relevant content and a clear and attainable goal in the form of a certification at the end."
Jonas Olsson, Dedicatum Consulting AB. (6/6/2016 (Monday) to 11/6/2016 (Saturday))

"I achieved my MCSE, over the moon. Thank you."
Wayne Chandler. (6/6/2016 (Monday) to 11/6/2016 (Saturday))

"Very focused and intensive: great if you know the content/have experience and need to prepare for the exam(s) in the shortest possible time. Very good learning environment and brilliant for shutting out distractions"
A.S., Contractor. (17/8/2015 (Monday) to 22/8/2015 (Saturday))

"I bought a Fast Pass and have never looked back. It is a shame that I have to come to the UK all the time as I live in Dubai. The site at Wyboston is very suitable to enable the studying required. "
A.R.. (17/8/2015 (Monday) to 22/8/2015 (Saturday))

"A good way to learn, wouldn't have gain half this knowledge from self study as I did with the instructor."
Jason Linham. (17/8/2015 (Monday) to 22/8/2015 (Saturday))

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