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MCSE Business Intelligence

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Tipologie Kurs
Methodologie Online
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  • Kurs
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Beschreibung

Course Description
The MCSE (Microsoft Certified Solutions Expert): Business Intelligence course is perfect for business intelligence professionals who need to deliver large quantities of data to more people across their organisation.
You will learn how to create SQL Server 2012 reports, create databases in a multidimensional format, perform business intelligence analysis and create data visualisations. The course will impart the skills and techniques required to design, create and deploy effective SQL Server business intelligence solutions, as well as how to manage, maintain and troubleshoot them successfully.
The great thing about our MCSE Business Intelligence Training Course Bundle is that you are in charge of your start and finish date, with no deadline pressures!
We train our students to the very best standards, offering expert instructor-led training via our state of the art eLearning platform.
By achieving the certifications within the MCSE Business Intelligence training course bundle you will create more career opportunities and be better positioned when applying for work.
Enrol today and prepare for a future you deserve.

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Ist dieser Kurs für mich?

Who Is This Course For?
Ideal for IT professionals looking to earn the MCSE Business Intelligence certification.
By choosing online learning instead of a classroom based course, it eliminates the need for time away from work, saving you valuable time and money. It is ideal for those with tight schedules as our online courses give you 12 months unlimited access to all the course materials, so you can study at a pace that suits you. Allowing you to easily resume your studies whenever you have the time. All you need is internet connection to study, so you can study from the comfort of your home or any environment that suits you.

Voraussetzungen: Requirements Our training works on all devices including Mobile phones, IPad’s, Android tablets, Macs and PC’s. For the best viewing experience on our state-of-the-art eLearning platform we recommend an internet connection of 10Mbps or better. Please also use Google Chrome or Mozilla Firefox as your browser with Adobe Flash Player.

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Transactions
Data Mining
Server
Database
SQL
Database training
MCSE training
Syntax
Design
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Business Intelligence
MCSE

Themenkreis

Microsoft 70-461: Querying SQL Server 2012

Module 1

  • 1.1 Introduction to SQL Server 2012
  • 1.2 SQL Instances
  • 1.3 Editions and Licensing
  • 1.4 SQL Server Objects
  • 1.5 System Databases
  • 1.6 SQL Server Data Tools
  • 1.7 Object Explorer
  • 1.8 Object Scripting
  • 1.9 Template Explorer
  • 1.10 Query Tabs
  • 1.11 Projects and Solutions
  • 1.12 Customizing SSDT
  • 1.13 Debugging T-SQL
  • 1.14 SQLCMD
  • 1.15 Exam Scenarios
  • 1.16 Module Review

Module 2

  • 2.1 T-SQL Overview
  • 2.2 T-SQL Elements
  • 2.3 Batch Separators
  • 2.4 Line Terminator
  • 2.5 Variables
  • 2.6 Control Flow
  • 2.7 Expressions
  • 2.8 Functions
  • 2.9 Predicates and Operators
  • 2.10 SELECT
  • 2.11 Column Aliasing
  • 2.12 SELECT Execution
  • 2.13 Exam Scenarios
  • 2.14 Module Review

Module 3

  • 3.1 SELECT Statements
  • 3.2 Basic SELECT Statement
  • 3.3 Specifying Columns
  • 3.4 Derived Columns
  • 3.5 Aliasing Columns
  • 3.6 Calculated Columns
  • 3.7 Ordering Results
  • 3.8 Returning Distinct Results
  • 3.9 Exam Scenarios
  • 3.10 Module Review

Module 4

  • 4.1 Filtering
  • 4.2 WHERE Syntax
  • 4.3 BETWEEN
  • 4.4 WHERE Syntax IN
  • 4.5 Filtering NULL Values
  • 4.6 LIKE
  • 4.7 Data Type Comparison
  • 4.8 Filtering Data with WHERE
  • 4.9 TOP
  • 4.10 OFFSET-FETCH
  • 4.11 Exam Scenarios
  • 4.12 Module Review

Module 5

  • 5.1 Join and Set Operators
  • 5.2 Using Joins
  • 5.3 Categories of Joins
  • 5.4 INNER JOIN
  • 5.5 OUTER JOIN
  • 5.6 JOIN Demo
  • 5.7 Set Operators
  • 5.8 Set Operators Demo
  • 5.9 Exam Scenarios
  • 5.10 Module Review

Module 6

  • 6.1 Subqueries and Table Expressions
  • 6.2 Subqueries
  • 6.3 Self Contained Subquery
  • 6.4 Correlated Subquery
  • 6.5 Subquery Demo
  • 6.6 EXISTS
  • 6.7 Common Table Expressions
  • 6.8 Temporary Tables
  • 6.9 Table Variables
  • 6.10 Table Demo
  • 6.11 Exam Scenarios
  • 6.12 Module Review

Module 7

  • 7.1 System Functions
  • 7.2 Scalar Functions
  • 7.3 ROWSET
  • 7.4 System Function Demo
  • 7.5 Aggregate Functions
  • 7.6 DISTINCT
  • 7.7 Aggregation Demo
  • 7.8 GROUP BY
  • 7.9 HAVING
  • 7.10 Conversion Functions
  • 7.11 Exam Scenarios
  • 7.12 Module Review

Module 8

  • 8.1 T-SQL Programming
  • 8.2 Logical Functions
  • 8.3 IIF, CHOOSE and CASE
  • 8.4 Logical Function Demo
  • 8.5 Using Views
  • 8.6 Stored Procedures
  • 8.7 Functions
  • 8.8 Triggers
  • 8.9 Views Demo
  • 8.10 TRY CATCH
  • 8.11 Exam Scenarios
  • 8.12 Module Review

Module 9

  • 9.1 Transactions
  • 9.2 Introduction to Transactions
  • 9.3 INSERT and UPDATE
  • 9.4 DELETE and TRUNCATE
  • 9.5 Transactions Demo
  • 9.6 Managing Transactions
  • 9.7 XACT_ABORT
  • 9.8 Managing Transactions Demo
  • 9.10 Exam Scenarios
  • 9.11 Module Review

Module 10

  • 10.1 Query Performance
  • 10.2 Indexing
  • 10.3 Index Strategies
  • 10.4 Indexes Demo
  • 10.5 Execution Plans
  • 10.6 Statistics IO
  • 10.7 Execution Plans Demo
  • 10.8 Exam Scenarios
  • 10.9 Module Review
  • 10.10 Program Review
Microsoft 70-462: Administering SQL Server 2012 Databases

Module 1

  • 1.1 Introduction to SQL Server 2012
  • 1.2 SQL Instances
  • 1.3 Editions and Licensing
  • 1.4 SQL Server Objects
  • 1.5 System Databases
  • 1.6 SQL Server Data Tools
  • 1.7 Object Explorer
  • 1.8 Object Scripting
  • 1.9 Template Explorer
  • 1.10 Query Tabs
  • 1.11 Projects and Solutions
  • 1.12 Customizing SSDT
  • 1.13 Debugging T-SQL
  • 1.14 SQLCMD
  • 1.15 Exam Scenarios
  • 1.16 Module Review

Module 2

  • 2.1 T-SQL Overview
  • 2.2 T-SQL Elements
  • 2.3 Batch Separators
  • 2.4 Line Terminator
  • 2.5 Variables
  • 2.6 Control Flow
  • 2.7 Expressions
  • 2.8 Functions
  • 2.9 Predicates and Operators
  • 2.10 SELECT
  • 2.11 Column Aliasing
  • 2.12 SELECT Execution
  • 2.13 Exam Scenarios
  • 2.14 Module Review

Module 3

  • 3.1 SELECT Statements
  • 3.2 Basic SELECT Statement
  • 3.3 Specifying Columns
  • 3.4 Derived Columns
  • 3.5 Aliasing Columns
  • 3.6 Calculated Columns
  • 3.7 Ordering Results
  • 3.8 Returning Distinct Results
  • 3.9 Exam Scenarios
  • 3.10 Module Review

Module 4

  • 4.1 Filtering
  • 4.2 WHERE Syntax
  • 4.3 BETWEEN
  • 4.4 WHERE Syntax IN
  • 4.5 Filtering NULL Values
  • 4.6 LIKE
  • 4.7 Data Type Comparison
  • 4.8 Filtering Data with WHERE
  • 4.9 TOP
  • 4.10 OFFSET-FETCH
  • 4.11 Exam Scenarios
  • 4.12 Module Review

Module 5

  • 5.1 Join and Set Operators
  • 5.2 Using Joins
  • 5.3 Categories of Joins
  • 5.4 INNER JOIN
  • 5.5 OUTER JOIN
  • 5.6 JOIN Demo
  • 5.7 Set Operators
  • 5.8 Set Operators Demo
  • 5.9 Exam Scenarios
  • 5.10 Module Review

Module 6

  • 6.1 Subqueries and Table Expressions
  • 6.2 Subqueries
  • 6.3 Self Contained Subquery
  • 6.4 Correlated Subquery
  • 6.5 Subquery Demo
  • 6.6 EXISTS
  • 6.7 Common Table Expressions
  • 6.8 Temporary Tables
  • 6.9 Table Variables
  • 6.10 Table Demo
  • 6.11 Exam Scenarios
  • 6.12 Module Review
Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012

Module 1: Introduction to Data Warehouses

  • 1.1 Overview of Data Warehouses
  • 1.2 Examine Data Warehousing Concepts
  • 1.3 Introduction to Data Analysis and Reporting Concepts

Module 2: Creating Dimensions and Changing Granularity of Dimensions

  • 2.1 Create Dimensions
  • 2.2 Change Granularity

Module 3: Creating Fact Tables and Column store Indexes

  • 3.1 Create Fact Tables
  • 3.2 Create Column store Indexes

Module 4: Implementing Data Warehouses in SQL Server 2012

  • 4.1 Overview of Data Warehouse Components
  • 4.2 Install Integration Services

Module 5: Working with Integration Services

  • 5.1 Create an SSIS Project
  • 5.2 Add Packages to an SSIS Project

Module 6: Managing Control Flow

  • 6.1 Deploy a Control Flow
  • 6.2 Execute Packages from Different Control Flow

Module 7: Working with Dynamic Variables

  • 7.1 Create Expressions with Variables
  • 7.2 Create Package Templates

Module 8: Implementing Data Flow

  • 8.1 Add Data Flow Components to a Data Flow Task
  • 8.2 Perform Transformation Tasks
  • 8.3 Track Changed Data

Module 9: Managing Data Flow

  • 9.1 Add Script Tasks and Script Components to an SSIS Package
  • 9.2 Profile OLTP Data
  • 9.3 Cleanse Data Using DQS

Module 10: Managing SSIS Package Execution

  • 10.1 Execute SSIS Packages on the Server
  • 10.2 Configure the Package Execution Strategy

Module 11: Debugging and Troubleshooting Packages

  • 11.1 Debug Package Execution Components
  • 11.2 Troubleshoot Package Failures

Module 12: Deploying Packages

  • 12.1 Deploy SSIS Packages
  • 12.2 Examine MSI Packages

Module 13: Securing Packages and Databases

  • 13.1 Secure Packages
  • 13.2 Secure Databases

Module 14: Working with MDS and Windows Azure

  • 14.1 Configure MDS
  • 14.2 Work with MDS Databases
  • 14.3 Work with Windows Azure
Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012

Module 1: Introduction to Business Intelligence and Data Modeling

  • 1.1 Introduction to Business Intelligence and Data Modeling Part 1
  • 1.2 Introduction to Business Intelligence and Data Modeling Part 2
  • 1.3 The Microsoft Business Intelligence Platform Part 1
  • 1.4 The Microsoft Business Intelligence Platform Part 2
  • 1.5 The Microsoft Business Intelligence Platform Part 3
  • 1.6 The Microsoft Business Intelligence Platform Part 4

Module 2: Implementing Reports The SQL Server Reporting Services

  • 2.1 Implementing Reports the SQL Server Reporting Services Part 1
  • 2.2 Implementing Reports the SQL Server Reporting Services Part 2
  • 2.3 Implementing Reports the SQL Server Reporting Services Part 3
  • 2.4 Implementing Reports the SQL Server Reporting Services Part 4
  • 2.5 Implementing Reports the SQL Server Reporting Services Part 5
  • 2.6 Implementing Reports the SQL Server Reporting Services Part 6
  • 2.7 Implementing Reports the SQL Server Reporting Services Part 7
  • 2.8 Implementing Reports the SQL Server Reporting Services Part 8

Module 3: Supporting Self Service Reporting

  • 3.1 Supporting Self Service Reporting Part 1
  • 3.2 Supporting Self Service Reporting Part 2

Module 4: Managing Report Execution and Delivery

  • 4.1 Managing Report Execution and Delivery
  • 4.2 Managing Report Execution
  • 4.3 Subscriptions and Data Alerts

Module 5: Creating Multidimensional Databases

  • 5.1 Creating Multidimensional Databases
  • 5.2 Creating Data Sources and Data Source Views
  • 5.3 Creating and Browsing a Cube

Module 6: Working with Cubes and Dimensions

  • 6.1 Working with Cubes and Dimensions
  • 6.2 Sorting and Grouping Attributes

Module 7: Working with Measures and Measure Groups

  • 7.1 Working with Measures and Measure Groups

Module 8: Introduction to MDX

  • 8.1 Introduction to MDX
  • 8.2 Adding Calculations to A Cube

Module 9: Customizing Cube Functionality

  • 9.1 Customizing Cube Functionality Part 1
  • 9.2 Customizing Cube Functionality Part 2
  • 9.3 Customizing Cube Functionality Part 3

Module 10: Implementing A Tabular Data Model

  • 10.1 Implementing A Tabular Data Model Part 1
  • 10.2 Implementing A Tabular Data Model Part 2

Module 11: Introduction to DAX

  • 11.1 Introduction to DAX
  • 11.2 Demonstration Making a Tabular Model Part 1
  • 11.3 Demonstration Making a Tabular Model Part 2
  • 11.4 Using DAX

Module 12: Implementing an Analysis Services Tabular Data Model

  • 12.1 Implementing an Analysis Services Tabular Data Model Part 1
  • 12.2 Implementing an Analysis Services Tabular Data Model Part 2
  • 12.3 Deploying A Tabular Data Model

Module 13: SQL Analysis Services

  • 13.1 SQL Analysis Services Part 1
  • 13.2 SQL Analysis Services Part 2

Module 14: Creating Data Visualizations with Power View

  • 14.1 Creating Data Visualizations with Power View

Module 15: Supporting Self Service Reporting

  • 15.1 Supporting Self Service Reporting

Module 16: Performing Predictive Analysis with Data Mining

  • 16.1 Performing Predictive Analysis with Data Mining
  • 16.2 Using the Data Mining Wizard

Module 17: Predictive Analytics

  • 17.1 Predictive Analytics Part 1
  • 17.2 Predictive Analytics Part 2
Microsoft 70-467: Designing Business Intelligence Solutions with SQL Server 2012

Module 1: Intro to Business Intelligence

  • 1.1 The Business Intelligence Solution
  • 1.2 Overview of Business Intelligence
  • 1.3 BI and Power Pivot Demo
  • 1.4 ETL Intro
  • 1.5 Designing Data Warehouses
  • 1.6 Design for Speed
  • 1.7 BI Semantic Model

Module 2: Database Essentials

  • 2.1 Basic Database Objects Demo
  • 2.2 Stored Procedures and Triggers Demo
  • 2.3 Database Clusters Demo
  • 2.4 SQL Server Management
  • 2.5 Table Triggers
  • 2.6 DB Configuring Options
  • 2.7 DB Backup
  • 2.8 DB Files and Restore

Module 3: Business Intelligence Development

  • 3.1 Using SQL Server Data Tools Demo
  • 3.2 Building an IS Integration Services Package Demo
  • 3.3 Loading Data from Remote Sources Demo
  • 3.4 Processing Data from Web Service Demo

Module 4: Business Intelligence Results

  • 4.1 Report Building Intro Setup Demo
  • 4.2 Using Report Builder Demo
  • 4.3 Reporting from Multiple Tables Demo
  • 4.4 Report Function and Matrix Demo
  • 4.5 Interactive Reports Demo
  • 4.6 Sorting Report Data Demo

Module 5: Advanced Reporting and Development

  • 5.1 Drill Through Reports
  • 5.2 Data Visualization
  • 5.3 Creating Store Procedure from Scratch
  • 5.4 Memory Optimize Table

Module 6: SQL Server Integration Services (SSIS)

  • 6.1 Building Our First Integration Project
  • 6.2 Data Transformation
  • 6.3 Introduction to Big Data
  • 6.4 Transformation Using Store Procedure
  • 6.5 Transformation Using SSIS
  • 6.6 Building Fact Table Using Store Procedure
  • 6.7 Building Fact Table Using SSIS

Module 7: SQL Server 2014 New Features

  • 7.1 Backup Enhancements
  • 7.2 Index Enhancements
  • 7.3 Online DB Enhancements
  • 7.4 Back Up to The Cloud
  • 7.5 Partition Data

Module 8: Course Review and Exam Prep

  • 8.1 BI Review
  • 8.2 SharePoint Overview
  • 8.3 SharePoint Demo
  • 8.4 Exam Preparation
  • 8.5 Before You Take the Exam