Live Chat
Monday - Friday 8am - 6pm EST Chat Now
Contact Us
Monday - Friday 8am - 8pm EST 1-800-268-7737 Other Contact Options
Checkout

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:

    $

MOD+DMOC: Implementing a SQL Data Warehouse (M20767)

Learn to implement a data warehouse platform with Microsoft SQL Server 2016.

GK# 5525

Course Overview

TOP

This course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

This course incorporates material from the Official Microsoft Learning Product 20767: and it can assist you in your preparation for Exam 70-767: Implementing a SQL Data Warehouse.

Schedule

TOP
  • Delivery Format:
  • Date:
  • Location:
  • Access Period:

$

What You'll Learn

TOP
  • Describe the key elements of a data warehouse solution Considerations for building a data warehouse
  • Implementing a logical design for a data warehouse
  • Implement a physical design for a data warehouse
  • Column store indexes
  • Implementing an Azure SQL Data Warehouse
  • Describe the key features of SSIS
  • Implement a data flow by using SSIS
  • Implement control flow by using tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • Debug SSIS packages
  • Describe the considerations of implement an ETL Solution
  • Implement Data Quality Services
  • Implement a Master Data Services model
  • Describe how you can use custom components to extend SSIS
  • Deploy SSIS projects
  • Describe BI and common BI scenarios

Outline

TOP
Viewing outline for:

On-Demand Outline

1. Introduction to Data Warehousing

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

2. Planning Data Warehouse Infrastructure

  • Considerations for Building a Data Warehouse
  • Planning data warehouse infrastructure

3. Designing and Implementing a Data Warehouse

  • Data warehouse design overview
  • Designing dimension tables
  • Designing fact tables
  • Physical Design for a Data Warehouse

4. Columnstore Indexes

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

5. Implementing an Azure SQL Data Warehouse

  • Advantages of Azure SQL Data Warehouse
  • Implementing an Azure SQL Data Warehouse
  • Developing an Azure SQL Data Warehouse
  • Migrating to an Azure SQ Data Warehouse
  • Copying data with the Azure data factory

6. Creating an ETL Solution

  • ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow

7. Implementing Control Flow in an SSIS Package

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing consistency

8. Debugging and Troubleshooting SSIS Packages

  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in Data Flow

9. Implementing a Data Extraction Solution

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading Modified Data
  • Temporal Tables

10. Enforcing Data Quality

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

11. Using Master Data Services

  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Hierarchies and Collections
  • Creating a Master Data Hub

12. Extending SQL Server Integration Services (SSIS)

  • Using Custom Components in SSIS
  • Using Scripting in SSIS

13. Deploying and Configuring SSIS Packages

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

14. Consuming Data in a Data Warehouse

  • Introduction to Business Intelligence
  • Introduction Reporting
  • An introduction to Data Analysis
  • Analyzing Data with Azure SQL Data Warehouse

Labs

TOP
Viewing labs for:

On-Demand Labs

Lab 1: Exploring a Data Warehouse Solution
Lab 2: Planning Data Warehouse Infrastructure
Lab 3: Implementing a Data Warehouse Schema
Lab 4: Using Columnstore Indexes
Lab 5: Implementing an Azure SQL Data Warehouse
Lab 6: Implementing Data Flow in an SSIS Package
Lab 7: Implementing Control Flow in an SSIS Package
Lab 8: Using Transactions and Checkpoints
Lab 9: Debugging and Troubleshooting an SSIS Package
Lab 10: Extracting Modified Data
Lab 11: Loading data warehouse
Lab 12: Cleansing Data
Lab 13: De-duplicating Data
Lab 14: Implementing Master Data Services
Lab 15: Using Scripts
Lab 16: Deploying and Configuring SSIS Packages
Lab 17: Using a Data Warehouse

Prerequisites

TOP
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design

Who Should Attend

TOP
  • Database professionals who need to fulfill a BI developer role focused on hands-on work by creating BI solutions, including data warehouse implementation, ETL and data cleansing
  • Database professionals responsible for implementing a data warehouse, developing SSIS packages for data ETL, enforcing data integrity using Microsoft Data Services and cleansing data using Data Quality Services

Vendor Credits

TOP

SATV Redemption

Redeeming your Microsoft Software Assurance Training Vouchers:

  • 5 Day SATV for an individual¬†On-Demand course
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:

On-Demand

Train at your own pace with 24/7 access to courses that help you acquire must-have technology skills.

Duration: 43 hours

Request this course in a different delivery format.
Enroll