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.
The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.
This course requires that you meet the following prerequisites:
After completing this course, students will be able to:
Module 1: Introduction to Data Warehousing
Describe data warehouse concepts and architecture considerations.
Lessons
Lab : Exploring a Data Warehouse Solution
Module 2: Planning Data Warehouse Infrastructure
This module describes the main hardware considerations for building a data warehouse.
Lessons
Lab : Planning Data Warehouse Infrastructure
Module 3: Designing and Implementing a Data Warehouse
This module describes how you go about designing and implementing a schema for a data warehouse.
Lessons
Lab : Implementing a Data Warehouse Schema
Module 4: Columnstore Indexes
This module introduces Columnstore Indexes.
Lessons
Lab : Using Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
This module describes Azure SQL Data Warehouses and how to implement them.
Lessons
Lab : Implementing an Azure SQL Data Warehouse
Module 6: Creating an ETL Solution
At the end of this module you will be able to implement data flow in a SSIS package.
Lessons
Lab : Implementing Data Flow in an SSIS Package
Module 7: Implementing Control Flow in an SSIS Package
This module describes implementing control flow in an SSIS package.
Lessons
Lab : Implementing Control Flow in an SSIS PackageLab : Using Transactions and Checkpoints
Module 8: Debugging and Troubleshooting SSIS Packages
This module describes how to debug and troubleshoot SSIS packages.
Lessons
Lab : Debugging and Troubleshooting an SSIS Package
Module 9: Implementing an Incremental ETL Process
This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.
Lessons
Lab : Extracting Modified DataLab : Loading Incremental Changes
Module 10: Enforcing Data Quality
This module describes how to implement data cleansing by using Microsoft Data Quality services.
Lessons
Lab : Cleansing DataLab : De-duplicating Data
Module 11: Using Master Data Services
This module describes how to implement master data services to enforce data integrity at source.
Lessons
Lab : Implementing Master Data Services
Module 12: Extending SQL Server Integration Services (SSIS)
This module describes how to extend SSIS with custom scripts and components.
Lessons
Lab : Using Scripts and Custom Components
Module 13: Deploying and Configuring SSIS Packages
This module describes how to deploy and configure SSIS packages.
Lessons
Lab : Deploying and Configuring SSIS Packages
Module 14: Consuming Data in a Data Warehouse
This module describes how to debug and troubleshoot SSIS packages.
Lessons
Lab : Using Business Intelligence Tools
Join our public courses in our Sweden facilities. Private class trainings will be organized at the location of your preference, according to your schedule.