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Methodology

Online

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Different dates available

"Course Description

Microsoft plans to retire this certification on January 31, 2021. If you're preparing for your MCSE, you have until the retirement date to pass all associated exams.

Get the new in-demand MCSE Data Management and Analytics certification and qualify for jobs such as database analyst, database designer and business intelligence analyst. The MCSE Data Management and Analytics has replaced the MCSE Business Intelligence certification, and will appreciate in value over the next few years. This makes it a great time for you to start your studies in order to benefit, as more and more companies will require professionals with SQL Server skills.

Earn your MCSA SQL Server 2012 certification whilst studying for the MCSE Data Management and Analytics certification.

The MCSE Data Management and Analytics certification consists of 4 exams:

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

After completing these 3 exams, you will earn your MCSA (Microsoft Certified Solutions Associate): Windows SQL Server 2012 Certification.

Then you’ll need to pass one of the following exams to earn your MCSE: Data Management and Analytics certification.

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

Once you have enrolled, you'll receive the following courses:

Microsoft 70-461: Querying Microsoft SQL server 2012 course.
Microsoft 70-462: Administering Microsoft SQL Server 2012 Database course.
Microsoft 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012 course.
Microsoft 70-466: Implementing Data Models and Reports with Microsoft SQL Server Course.
Microsoft 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server Course.
"

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Online

Start date

Different dates availableEnrolment now open

About this course

Who is it intended for?

"Who Is This Course For?

Ideal for anyone looking to earn the new MCSE Data Management and Analytics 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."

Requirements

"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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Data Mining
Windows
Server
Database
SQL
Database training
MCSE training
MCSA training
MCSA
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Data Management
Business Intelligence
MCSE

Course programme

"

Course Outline

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

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

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

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

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

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

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

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 2.5 Table..."

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MCSE Data Management and Analytics with Practice Labs

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