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Implementing a SQL Data Warehouse

5days
Training code
ms20767

Upcoming sessions

03 Sep 2018
05 Nov 2018
Book this course

Introduction to Data Warehousing

Describe data warehouse concepts and architecture considerations.

Topics:

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

Planning Data Warehouse Infrastructure

This module describes the main hardware considerations for building a data warehouse.

Topics:

  • Considerations for Building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances

Designing and Implementing a Data Warehouse

This module describes how you go about designing and implementing a schema for a data warehouse.

Topics:

  • Logical Design for a Data Warehouse
  • Physical Design for a Data Warehouse

Columnstore Indexes

This module introduces Columnstore Indexes.

Topics:

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

Implementing an Azure SQL Data Warehouse

This module describes Azure SQL Data Warehouses and how to implement them.

Topics:

  • 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

Creating an ETL Solution

At the end of this module you will be able to implement data flow in a SSIS package.

Topics:

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

Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.

Topics:

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

Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.

Topics:

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

Implementing an Incremental ETL Process

This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.

Topics:

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

Enforcing Data Quality

This module describes how to implement data cleansing by using Microsoft Data Quality services.

Topics:

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

Using Master Data Services

This module describes how to implement master data services to enforce data integrity at source.

Topics:

  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Extending SQL Server Integration Services (SSIS)

This module describes how to extend SSIS with custom scripts and components.

Topics:

  • Using Custom Components in SSIS
  • Using Scripting in SSIS

Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS packages.

Topics:

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

Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.

Topics:

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

This three-day instructor-led course provides students with the knowledge and skills to

provision a Microsoft SQL Server 2016 database. The course covers SQL Server 2016 provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

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.

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