MCSE Data Management and Analytics
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Online
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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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About this course
"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
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."
Reviews
Subjects
- Transactions
- Data Mining
- Windows
- Server
- Database
- SQL
- Database training
- MCSE training
- MCSA training
- MCSA
- Syntax
- Project
- Data Management
- Business Intelligence
- MCSE
Course programme
Course Outline
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 1.1 Overview of Data Warehouses
- 1.2 Examine Data Warehousing Concepts
- 1.3 Introduction to Data Analysis and Reporting Concepts
- 2.1 Create Dimensions
- 2.2 Change Granularity
- 3.1 Create Fact Tables
- 3.2 Create Column store Indexes
- 4.1 Overview of Data Warehouse Components
- 4.2 Install Integration Services
- 5.1 Create an SSIS Project
- 5.2 Add Packages to an SSIS Project
- 6.1 Deploy a Control Flow
- 6.2 Execute Packages from Different Control Flow
- 7.1 Create Expressions with Variables
- 7.2 Create Package Templates
- 8.1 Add Data Flow Components to a Data Flow Task
- 8.2 Perform Transformation Tasks
- 8.3 Track Changed Data
- 9.1 Add Script Tasks and Script Components to an SSIS Package
- 9.2 Profile OLTP Data
- 9.3 Cleanse Data Using DQS
- 10.1 Execute SSIS Packages on the Server
- 10.2 Configure the Package Execution Strategy
- 11.1 Debug Package Execution Components
- 11.2 Troubleshoot Package Failures
- 12.1 Deploy SSIS Packages
- 12.2 Examine MSI Packages
- 13.1 Secure Packages
- 13.2 Secure Databases
- 14.1 Configure MDS
- 14.2 Work with MDS Databases
- 14.3 Work with Windows Azure
- 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
- 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
- 3.1 Supporting Self Service Reporting Part 1
- 3.2 Supporting Self Service Reporting Part 2
- 4.1 Managing Report Execution and Delivery
- 4.2 Managing Report Execution
- 4.3 Subscriptions and Data Alerts
- 5.1 Creating Multidimensional Databases
- 5.2 Creating Data Sources and Data Source Views
- 5.3 Creating and Browsing a Cube
- 6.1 Working with Cubes and Dimensions
- 6.2 Sorting and Grouping Attributes
- 7.1 Working with Measures and Measure Groups
- 8.1 Introduction to MDX
- 8.2 Adding Calculations to A Cube
- 9.1 Customizing Cube Functionality Part 1
- 9.2 Customizing Cube Functionality Part 2
- 9.3 Customizing Cube Functionality Part 3
- 10.1 Implementing A Tabular Data Model Part 1
- 10.2 Implementing A Tabular Data Model Part 2
- 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
- 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
- 13.1 SQL Analysis Services Part 1
- 13.2 SQL Analysis Services Part 2
- 14.1 Creating Data Visualizations with Power View
- 15.1 Supporting Self Service Reporting
- 16.1 Performing Predictive Analysis with Data Mining
- 16.2 Using the Data Mining Wizard
- 17.1 Predictive Analytics Part 1
- 17.2 Predictive Analytics Part 2
- 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
- 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
- 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
- 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
- 5.1 Drill Through Reports
- 5.2 Data Visualization
- 5.3 Creating Store Procedure from Scratch
- 5.4 Memory Optimize Table
- 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
- 7.1 Backup Enhancements
- 7.2 Index Enhancements
- 7.3 Online DB Enhancements
- 7.4 Back Up to The Cloud
- 7.5 Partition Data
- 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
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 .
MCSE Data Management and Analytics