20767 Implementing a SQL Data Warehouse

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20767 Implementing a SQL Data Warehouse

This 5-day instructor-led course provides students with the knowledge and skills to provision a Microsoft SQL Server database.

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Overview

This 5-day instructor-led course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premises and in Azure, and covers installing from new and migrating from an existing install.

Prerequisites

In addition to their professional experience, students who wish to attend this training should already have the following technical knowledge:

  • 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?

This course is recommended for database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

Course Outline

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

Lab: Exploring a Data Warehouse Solution

  • Considerations for data warehouse infrastructure
  • Planning data warehouse hardware

Lab: Planning Data Warehouse Infrastructure

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

Lab: Implementing a Data Warehouse Schema

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

Lab: Using Columnstore Indexes

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

Lab: Implementing an Azure SQL Data Warehouse

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

Lab: Implementing Data Flow in an SSIS Package

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

Lab: Implementing Control Flow in an SSIS Package
Lab: Using Transactions and Checkpoints

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

Lab: Debugging and Troubleshooting an SSIS Package

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading modified data
  • Temporal tables

Lab: Extracting Modified Data
Lab: Loading a data warehouse

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

Lab: Cleansing Data
Lab: De-duplicating Data

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Hierarchies and collections
  • Creating a Master Data Hub

Lab: Implementing Master Data Services

  • Using scripting in SSIS
  • Using custom components in SSIS

Lab: Using scripts

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

Lab: Deploying and Configuring SSIS Packages

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

Lab: Using a data warehouse

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