Learn how to implement a data warehouse platform to support a business intelligence (BI) solution

In this course, you will learn how to implement a data warehouse platform to support a business intelligence (BI) solution. You will discover how to create a data warehouse, implement extract, transform, and load (ETL) with SQL Server Integration Services (SSIS), and validate and cleanse data with SQL Server Data Quality Services (DQS) and SQL Server Master Data Services.

This course is designed for customers interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features of SQL Server 2014 as well as the important capabilities across the SQL Server data platform.

This course incorporates material from the Official Microsoft Learning Product 20463: Implementing a Data Warehouse with Microsoft SQL Server 2014. It covers the skills and knowledge measured by Exam 70-463 and along with on-the-job experience, helps you prepare for the exam.

This course is also available in the On-Demand delivery format with digital Microsoft Official Courseware (dMOC). Click here to purchase.

View Entire Schedule

Data warehouse concepts and architecture considerations
Select an appropriate hardware platform for a data warehouse
Design and implement a data warehouse
Implement data flow and control flow in a SSIS package
Debug and troubleshoot SSIS packages
Implement a SSIS solution that supports incremental data warehouse loads and extracting data
Implement data cleansing using Microsoft DQS
Implement Master Data Services (MDS) to enforce data integrity
Extend SSIS with custom scripts and components
Deploy and configure SSIS packages
How Business Intelligence solutions consume data in a data warehouse

Viewing outline for:

Classroom Live Outline

1. Data Warehousing

Concepts and Architecture Considerations
Considerations for a Data Warehouse Solution

2. Data Warehouse Infrastructure

Hardware Selections
Data Warehouse Reference Architectures and Appliances

3. Design and Implement a Data Warehouse

Logical Design,
Physical Implementation

4. Create an ETL Solution with SSIS

ETL with SSIS
Explore Source Data
Implement Data Flow

5. Implement Control Flow in an SSIS Package

Control Flow
Create Dynamic Packages
Using Containers
Manage Consistency

6. Debug and Troubleshoot SSIS Packages

Debug an SSIS Package
Log SSIS Package Events
Handle Errors in an SSIS Package

7. Implement an Incremental ETL Process

Incremental ETL

8. Enforce Data Quality

Microsoft SQL Server DQS
Use DQS to Cleanse Data
Use DQS to Match Data

9. Master Data Services

Master Data Services Concepts
Implement a Master Data Services Model
Manage Master Data and Create a Master Data Hub

10. Extend SQL Server Integration Services (SSIS)

Custom Components in SSIS
Scripting in SSIS

11. Deploy and Configure SSIS Packages

Deployment Considerations
Deploy SSIS Projects
Plan SSIS Package Execution

12. Consume Data in a Data Warehouse

Business Intelligence Solutions
Reporting and Data Analysis

1. Data Warehousing

Concepts and Architecture Considerations
Considerations for a Data Warehouse Solution

2. Data Warehouse Infrastructure

Hardware Selections
Data Warehouse Reference Architectures and Appliances

3. Design and Implement a Data Warehouse

Logical Design,
Physical Implementation

4. Create an ETL Solution with SSIS

ETL with SSIS
Explore Source Data
Implement Data Flow

5. Implement Control Flow in an SSIS Package

Control Flow
Create Dynamic Packages
Using Containers
Manage Consistency

6. Debug and Troubleshoot SSIS Packages

Debug an SSIS Package
Log SSIS Package Events
Handle Errors in an SSIS Package

7. Implement an Incremental ETL Process

Incremental ETL

8. Enforce Data Quality

Microsoft SQL Server DQS
Use DQS to Cleanse Data
Use DQS to Match Data

9. Master Data Services

Master Data Services Concepts
Implement a Master Data Services Model
Manage Master Data and Create a Master Data Hub

10. Extend SQL Server Integration Services (SSIS)

Custom Components in SSIS
Scripting in SSIS

11. Deploy and Configure SSIS Packages

Deployment Considerations
Deploy SSIS Projects
Plan SSIS Package Execution

12. Consume Data in a Data Warehouse

Business Intelligence Solutions
Reporting and Data Analysis

1. Data Warehousing

Concepts and Architecture Considerations
Considerations for a Data Warehouse Solution

2. Data Warehouse Infrastructure

Hardware Selections
Data Warehouse Reference Architectures and Appliances

3. Design and Implement a Data Warehouse

Logical Design,
Physical Implementation

4. Create an ETL Solution with SSIS

ETL with SSIS
Explore Source Data
Implement Data Flow

5. Implement Control Flow in an SSIS Package

Control Flow
Create Dynamic Packages
Using Containers
Manage Consistency

6. Debug and Troubleshoot SSIS Packages

Debug an SSIS Package
Log SSIS Package Events
Handle Errors in an SSIS Package

7. Implement an Incremental ETL Process

Incremental ETL

8. Enforce Data Quality

Microsoft SQL Server DQS
Use DQS to Cleanse Data
Use DQS to Match Data

9. Master Data Services

Master Data Services Concepts
Implement a Master Data Services Model
Manage Master Data and Create a Master Data Hub

10. Extend SQL Server Integration Services (SSIS)

Custom Components in SSIS
Scripting in SSIS

11. Deploy and Configure SSIS Packages

Deployment Considerations
Deploy SSIS Projects
Plan SSIS Package Execution

12. Consume Data in a Data Warehouse

Business Intelligence Solutions
Reporting and Data Analysis

Viewing labs for:

Classroom Live Labs

Lab 1: Explore a Data Warehouse Solution

Lab 2: Data Warehouse Infrastructure Planning

Lab 3: Data Warehouse Implementation

Lab 4: Implement Data Flow in a SSIS Package

Lab 5A: Implement Control Flow in a SSIS Package

Lab 5B: Transactions and Checkpoints Usage

Lab 6: Debug and Troubleshoot a SSIS Package

Lab 7: Extract Modified Data

Lab 8: Data Warehouse Loading

Lab 9: Cleanse Data

Lab 10: Implement Master Data Services

Lab 11: Custom Scripts

Lab 12: Deploy and Configure SSIS Packages

Lab 13: Data Warehouse Usage in Enterprise and Self-Service BI Scenarios

Lab 1: Explore a Data Warehouse Solution

Lab 2: Data Warehouse Infrastructure Planning

Lab 3: Data Warehouse Implementation

Lab 4: Implement Data Flow in a SSIS Package

Lab 5A: Implement Control Flow in a SSIS Package

Lab 5B: Transactions and Checkpoints Usage

Lab 6: Debug and Troubleshoot a SSIS Package

Lab 7: Extract Modified Data

Lab 8: Data Warehouse Loading

Lab 9: Cleanse Data

Lab 10: Implement Master Data Services

Lab 11: Custom Scripts

Lab 12: Deploy and Configure SSIS Packages

Lab 13: Data Warehouse Usage in Enterprise and Self-Service BI Scenarios

Lab 1: Explore a Data Warehouse Solution

Lab 2: Data Warehouse Infrastructure Planning

Lab 3: Data Warehouse Implementation

Lab 4: Implement Data Flow in a SSIS Package

Lab 5: Implement Control Flow in a SSIS Package

Lab 6: Transactions and Checkpoints Usage

Lab 7: Debug and Troubleshoot a SSIS Package

Lab 8: Load Incremental Changes

Lab 9: Extract Modified Data

Lab 10: Data Cleansing

Lab 11: De-duplicating Data

Lab 12: Implement Master Data Services

Lab 13: Custom Components and Scripts

Lab 14: Deploy and Configure SSIS Packages

Lab 15: Business Intelligence Tools

Minimum two years experience working with relational databases, including designing a normalized database, creating tables and relationships
Basic programming constructs, including looping and branching
Focus on key business priorities, such as revenue, profitability, and financial account

Querying Microsoft SQL Server 2014 (M20461)

Database professionals who need to fulfill a BI developer role focused on hands-on work, creating BI solutions included data warehouse implementation, ETL, and data cleansing
Database professionals responsible for implementing a data warehouse, developing SSIS packages for data extraction, loading, transferring, transforming, and enforcing data integrity using MDS, and cleansing data using DQS

Training Exclusives

This course comes with 12 months access to the following benefits:

Practice Labs
24x7 Mentoring
Indexed Class Recordings
Unlimited Course Retakes
Digital courseware

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SATV Redemption

Redeeming your Microsoft Software Assurance Training Vouchers:

5 SATVs for a Classroom Live or Virtual Classroom Live session
2 SATVs for an individual On-Demand course
5 SATVs for an individual On-Demand course plus digital Microsoft Official Courseware (dMOC)

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Course Delivery

This course is available in the following formats:

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Implementing a Data Warehouse with Microsoft SQL Server 2014 (M20463)

Classroom Live Outline

1. Data Warehousing

2. Data Warehouse Infrastructure

3. Design and Implement a Data Warehouse

4. Create an ETL Solution with SSIS

5. Implement Control Flow in an SSIS Package

6. Debug and Troubleshoot SSIS Packages

7. Implement an Incremental ETL Process

8. Enforce Data Quality

9. Master Data Services

10. Extend SQL Server Integration Services (SSIS)

11. Deploy and Configure SSIS Packages

12. Consume Data in a Data Warehouse

1. Data Warehousing

2. Data Warehouse Infrastructure

3. Design and Implement a Data Warehouse

4. Create an ETL Solution with SSIS

5. Implement Control Flow in an SSIS Package

6. Debug and Troubleshoot SSIS Packages

7. Implement an Incremental ETL Process

8. Enforce Data Quality

9. Master Data Services

10. Extend SQL Server Integration Services (SSIS)

11. Deploy and Configure SSIS Packages

12. Consume Data in a Data Warehouse

1. Data Warehousing

2. Data Warehouse Infrastructure

3. Design and Implement a Data Warehouse

4. Create an ETL Solution with SSIS

5. Implement Control Flow in an SSIS Package

6. Debug and Troubleshoot SSIS Packages

7. Implement an Incremental ETL Process

8. Enforce Data Quality

9. Master Data Services

10. Extend SQL Server Integration Services (SSIS)

11. Deploy and Configure SSIS Packages

12. Consume Data in a Data Warehouse

Classroom Live Labs

Lab 1: Explore a Data Warehouse Solution

Lab 2: Data Warehouse Infrastructure Planning

Lab 3: Data Warehouse Implementation

Lab 4: Implement Data Flow in a SSIS Package

Lab 5A: Implement Control Flow in a SSIS Package

Lab 5B: Transactions and Checkpoints Usage

Lab 6: Debug and Troubleshoot a SSIS Package

Lab 7: Extract Modified Data

Lab 8: Data Warehouse Loading

Lab 9: Cleanse Data

Lab 10: Implement Master Data Services

Lab 11: Custom Scripts

Lab 12: Deploy and Configure SSIS Packages

Lab 13: Data Warehouse Usage in Enterprise and Self-Service BI Scenarios

Lab 1: Explore a Data Warehouse Solution

Lab 2: Data Warehouse Infrastructure Planning

Lab 3: Data Warehouse Implementation

Lab 4: Implement Data Flow in a SSIS Package

Lab 5A: Implement Control Flow in a SSIS Package

Lab 5B: Transactions and Checkpoints Usage

Lab 6: Debug and Troubleshoot a SSIS Package

Lab 7: Extract Modified Data

Lab 8: Data Warehouse Loading

Lab 9: Cleanse Data

Lab 10: Implement Master Data Services

Lab 11: Custom Scripts

Lab 12: Deploy and Configure SSIS Packages

Lab 13: Data Warehouse Usage in Enterprise and Self-Service BI Scenarios

Lab 1: Explore a Data Warehouse Solution

Lab 2: Data Warehouse Infrastructure Planning

Lab 3: Data Warehouse Implementation

Lab 4: Implement Data Flow in a SSIS Package

Lab 5: Implement Control Flow in a SSIS Package

Lab 6: Transactions and Checkpoints Usage

Lab 7: Debug and Troubleshoot a SSIS Package