Microsoft - MCSE: Business Intelligence (SQL Server) | Exam 70-466 & 70-467

Erlernen Sie die Implementierung einer Business Intelligence Plattform für Microsoft SQL Server und erlangen Sie Ihre Microsoft MCSE: Business Intelligence Zertifizierung. Dieser Intensivkurs ist 45% kürzer als herkömmliche Trainingskurse.

Microsoft hat seine offiziellen Kursunterlagen aktualisiert. Diese enthalten jetzt auch SQL Server 2014 Inhalte. Dieser Kurs deckt sowohl SQL Server 2012, als auch SQL Server 2014 ab.

Erlernen Sie die fortgeschrittene SQL Server Funktionalität

In nur sechs Tagen lernen Sie die Implementierung und Gestaltung von Datenmodellen und die Erstellung von Berichten und Visualisierungen - durch die Verwendung von SQL Server Reporting Services, SharePoint und Excel. Sie erlernen zudem nötige Schlüsselfähigkeiten, um mit Windows Azure HDInsight arbeiten zu können und unstruktierte Daten verwalten zu können.

Erlernen Sie die Erstellung eines Data Warehouse mit SQL Server 2014 und die folgenden Gebiete:

• Implementierung multi-dimensionaler Modelle
• Implementierung tabellarischer Datenmodelle
• Abfragen mit MDX und DAX
• Erstellung und Verwaltung von Berichten
• Datenvisualisierung mit Excel
• Erstellung einer selbstständig berichtenden Umgebung
• Implementierung und BigData Prozesse in Windows Azure HDInsight

Im Microsoft MCSE Business Intelligence Kurs behandeln Sie folgende Inhalte:

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.

• 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.

Der Kurs beinhaltet folgende Prüfungen:

• Prüfung 70-466: Implementing Data Models and Reports with Microsoft SQL Server
• Prüfung 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server

Voraussetzung neben der beruflichen Erfahrung sind folgende Microsoft Zertifizierungen (MCSA: SQL Server 2012):

• 70-461: MCTS - Querying Microsoft SQL Server 2012
• 70-462: MCTS - Administering Microsoft SQL Server 2012 Databases
• 70-463: MCTS - Implementing a Data Warehouse with Microsoft SQL Server 2012

In folgenden Punkten werden praktische Erfahrungen vorausgesetzt:

• Mindestens zwei Jahre berufliche Erfahrung mit relationalen Datenbanken, mit folgendem Inhalt:
• Konzeption einer Datenbank
• Erstellen von Tabellen und Verknüpfungen
• Transact-SQL Abfragen
• Fundiertes Wissen von topologischen Schemata von Data Warehouse (Business Intelligence-Schemas wie Star oder Snowflake)
• Erfahrung mit grundlegenden Programmierungselementen (wie Looping und Branching)

Empfohlen werden Kenntnisse von Unternehmensfunktionen wie Umsatz, Rentabilität und Finanzbuchhaltung.

Microsoft Official Curriculum

• MOC 10778A: Implementing Data Models and Reports with Microsoft SQL Server
• MOC 20467: Designing Business Intelligence Solutions with Microsoft SQL Server

Folgende Literatur erhalten Sie auf dem Kurs:

• Delivering Business Intelligence with Microsoft SQL Server 2012 3rd Edition ISBN: 9780071759380

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