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Implementing a SQL Data Warehouse

5days
Training code
ms20767

Upcoming sessions

25 Jun 2018
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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