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On this accelerated 3 day MCSE: Data Management and Analytics (Implementing Data Models with SQL Server) course, you'll learn to create managed enterprise Business Intelligence solutions.
This course, which is 50% faster than other traditional providers, will immerse you in Microsoft Official Curriculum. You'll develop your skills in implementing multidimensional and tabular data models, delivering reports with Microsoft SQL Server Reporting Services, creating dashboards with Microsoft SharePoint and discovering business insights using data mining.
You'll be prepared for and sit exam 70-466 Implementing Data Models and Reports with Microsoft SQL, which is covered by your Certification Guarantee. Along with a related MCSA, exam 70-466 is an elective to achieving the MCSE: Data Management and Analytics.
For 3 days you'll eat, sleep and breath Data Models and Reports with Microsoft SQL Server and leave us with the ability to:
Your Microsoft Certified Trainers (MCT) will guide you through the Microsoft Official Curriculum (MOC). Our unique Lecture | Lab | Review technique, which combines both theoretical and practical tasks will accelerate your learning and ensure you have the hands-on skills necessary to apply your knowledge to real-life scenarios when you return to work.
This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Typical responsibilities include:
Microsoft Certified Trainers (MCT): You'll be trained by our experienced Microsoft Certified Trainers. This means you'll benefit from their years of industry experience and knowledge throughout the course.
Microsoft Official Curriculum (MOC): Firebrand is a Microsoft Learning Partner, which means you'll have access to the latest curriculums and the most up-to-date content.
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 Lab : Exploring a BI Solution After completing this module, you will be able to: This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube. Lessons Lab : Creating a Multidimensional Database After completing this module, you will be able to: This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model. Lessons
Lab : Working with Cubes and Dimensions
After completing this module, you will be able to: 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 Lab : Configuring Measures and Measure Groups After completing this module, you will be able to: This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets. Lessons Lab : Using MDX After completing this module, you will be able to: This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations. Lessons Lab : Customising a Cube After completing this module, you will be able to: 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 Lab : Implementing an Analysis Services Tabular Data Model After completing this module, you will be able to:
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 After completing this module, you will be able to: 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 Lab : Creating a Report with Report Designer After completing this module, you will be able to: This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports. Lessons Lab : Implementing Report Subscriptions After completing this module, you will be able to: This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services. Lessons Lab : Implementing PerformancePoint Services After completing this module, you will be able to: 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 Lab : Using Data Mining to Support a Marketing Campaign After completing this module, you will be able to: This module enables students to plan the components of a BI Solution. Lessons Lab : Planning BI Solutions After completing this module, you will be able to: This module describes how to use plan appropriate BI Infrastructure given a set of BI Parameters. Lessons Lab : Planning BI Infrastructure After completing this module, you will be able to: This module describes how to design a data warehouse given a set of user requirements. Lessons Lab : Designing a Data Warehouse Logical Schema After completing this module, you will be able to: This lesson describes how to design an extract, transform and load (ETL) solution. Lessons Lab : Designing an ETL Solution After completing this module, you will be able to: This module describes how to design analytical data models for specific BI scenarios. Lab : Designing Analytical Data Model Lab : Designing Dimensions and Hierarchies After completing this module, you will be able to: This module describes how to choose an appropriate delivery solution for a given scenario. Lessons Lab : Planning a BI Delivery Solution After completing this module, you will be able to: This module describes how to design a reporting services solution. Lessons Lab : Designing a Reporting Services Solution After completing this module, you will be able to: In this module students will learn how to design a reporting solution using Excel. Lessons Lab : Designing and Excel Reporting Solution After completing this module, you will be able to: This module introduces the use of SharePoint Server as a BI solution. Lessons Lab : Implementing a SharePoint Server BI Solution Lab : Implementing PerformancePoint Services After completing this module, you will be able to: At the conclusion of this module you will be able to optimise and monitor a BI solution. Lessons Lab : Monitoring and Optimising a BI Solution After completing this module, you will be able to: At the conclusion of this module you will be able to plan management and maintenance operations of a BI solution. Lessons Lab : Operating a BI Solution After completing this module, you will be able to:
Module 2: Creating Multidimensional Databases
Module 3: Working with Cubes and Dimensions
Module 4: Working with Measures and Measure Groups
Module 5: Introduction to MDX
Module 6: Customising Cube Functionality
Module 7: Implementing an Analysis Services Tabular Data Model
Module 8: Introduction to Data Analysis Expression (DAX)
Module 9: Implementing Reports with SQL Server Reporting Services
Module 10: Automating Report Execution and Delivery
Module 11: Delivering BI with SharePoint PerformancePoint Services
Module 12: Performing Predictive Analysis with Data Mining
Course 20467D: Designing Business Intelligence Solutions with Microsoft SQL Server 2014
Module 1: Planning a BI Solution
Module 2: Planning BI Infrastructure
Module 3: Designing a Data Warehouse
Module 4: Designing an ETL solution
Module 5: Designing Analytical Data Models
Module 6: Planning a BI Delivery Solution
Module 7: Designing a Reporting Services Solution
Module 8: Designing an Excel Based reporting Solution
Module 9: Planning a SharePoint Server BI Solution
Module 10: Monitoring and Optimising a BI Solution
Module 11: Operating a BI Solution
During the course you'll sit the following exam at the Firebrand Training Centre. This is covered by your Certification Guarantee:
Exam 70-466 : Implementing Data Models and Reports with Microsoft SQL Server
This exam will test you on the following skills:
To achieve the MCSE: Data Management and Analytics certification, you are required to pass exam 70-766 as well as the exams aligned to one of the following MCSA:
To be suitable for this course it's recommended you have a minimum of 2 years experience working with relational databases, including:
Olemme kouluttaneet kymmenen vuoden aikana yli 134.561 opiskelijaa. Heitä kaikkia on pyydetty arvioimaan pikakurssimme. Tällä hetkellä 95,63% on sitä mieltä, että Firebrand on ylittänyt heidän odotuksensa:
"Great trainers and facilities, and being away from work & family really helps you focus on the material."
R.C.M., PGI - Protection Group International Ltd.. (22/4/2024 (Maanantai) - 27/4/2024 (Lauantai))
"Excellent training. Material and instructor very good. Good facilities. Preferred method of learning moving forward."
J.B.. (22/4/2024 (Maanantai) - 27/4/2024 (Lauantai))
"The in-person training is always effective. I have never done certification before I have around 20+ yrs of exp and I did my first one with Firebrand. The only reason I passed the exam due to focused time and no distraction."
Arul Jayaraman, Yayati consulting ltd. (22/4/2024 (Maanantai) - 27/4/2024 (Lauantai))
"The course was very interesting and interactive."
Matthew Clulee, Venture Systems Group. (23/4/2024 (Tiistai) - 26/4/2024 (Perjantai))
"A good training course, with experienced and knowledgeable instructor, reacting to skills and experience level of the class students."
Mike Hilton, WWF-UK. (22/4/2024 (Maanantai) - 24/4/2024 (Keskiviikko))
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3/2/2025 (Maanantai) |
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19/3/2025 (Keskiviikko) |
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