Implementing a SQL Data Warehouse


Course Code:

MS20767

Duration:
5 days
9.00am to 5.00pm
Location:
80 Jurong East Street 21 #04-04
Devan Nair Institute
Singapore 609607
Course Fees:
S$3,000 (excl of G.S.T)
2019 Course Dates
22 – 26 Apr 2019
17 – 21 Jun 2019
26 – 30 Aug 2019
None of the published dates will work for you? Speak to our training consultants for a private tuition arrangement or a closed door training.
Do note that this course listed is a Microsoft Digital Class (DMOC Class). You are required to bring your own device.

Course Overview

This 5-day instructor led course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Program Objectives

After completing this course, students will be able to:

• Describe the key elements of a data warehousing solution

• Describe the main hardware considerations for building a data warehouse

• Implement a logical design for a data warehouse

• Implement a physical design for a data warehouse

• Create columnstore 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 for 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

Course Outline

Module 1: Introduction to Data Warehousing

Module 2: Planning Data Warehouse Infrastructure

Module 3: Designing and Implementing a Data Warehouse

Module 4: Columnstore Indexes

Module 5: Implementing an Azure SQL Data Warehouse

Module 6: Creating an ETL Solution

Module 7: Implementing Control Flow in an SSIS Package

Module 8: Debugging and Troubleshooting SSIS Packages

Module 9: Implementing an Incremental ETL Process

Module 10: Enforcing Data Quality

Module 11: Using Master Data Services

Module 12: Extending SQL Server Integration Services (SSIS)

Module 13: Deploying and Configuring SSIS Packages

Module 14: Consuming Data in a Data Warehouse

Click Here for full course Outline

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