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MOD+DMOC: Implementing a Data Warehouse with Microsoft SQL Server 2014 (M20463D)

Discover how to implement a data warehouse platform with SQL Server 2012 or 2014.

GK# 4651

Course Overview

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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. 

Redeem five SATVs for an individual GK Digital Learning course plus digital Microsoft Official Courseware (dMOC). For more information on Microsoft SATVs click here.

Schedule

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  • Delivery Format:
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What You'll Learn

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  • 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 an ETL solution that supports incremental data warehouse loads and extracting data
  • Implement data cleansing using Microsoft Data Quality Services (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

Outline

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GK Digital Learning 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
  • Extract and load modified data

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

Labs

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GK Digital Learning 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 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

Prerequisites

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  • Minimum two years of 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

Who Should Attend

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  • 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

Follow-On Courses

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Training Exclusives

This course comes with three months, 24x7 access to: 

  • HD-quality streaming videos that adapt to your connection speed and device
  • Hands-on live labs with integrated lab steps and ability to save and resume labs
  • Knowledge checks for comprehensive assessments
  • 24x7 mentoring via chat, email and phone
  • Digital Microsoft Official Courseware (dMOC)
Course Delivery

This course is available in the following formats:

GK Digital Learning

Experience high-quality online learning combined with reliable expert guidance and skills development activities.



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