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> > > MOC 20767 Detaillierte Beschreibung

Implementing a SQL Data Warehouse (MOC 20767)

Detaillierter Kursinhalt

Module 1: Introduction to Data Warehousing

Describe data warehouse concepts and architecture considerations.

Lessons
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
Lab: Exploring a Data Warehouse Solution

After completing this module, you will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the key considerations for a data warehousing solution
Module 2: Planning Data Warehouse Infrastructure

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

Lessons
  • Considerations for Building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances
Lab: Planning Data Warehouse Infrastructure

After completing this module, you will be able to:

  • Describe the main hardware considerations for building a data warehouse
  • Explain how to use reference architectures and data warehouse appliances to create a data warehouse
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
  • Logical Design for a Data Warehouse
  • Physical Design for a Data Warehouse
Lab: Implementing a Data Warehouse Schema

After completing this module, you will be able to:

  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse
Module 4: Columnstore Indexes

This module introduces Columnstore Indexes.

Lessons
  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes
Lab: Using Columnstore Indexes

After completing this module, you will be able to:

  • Create Columnstore indexes
  • Work with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse

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

Lessons
  • 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
Lab: Implementing an Azure SQL Data Warehouse

After completing this module, you will be able to:

  • Describe the advantages of Azure SQL Data Warehouse
  • Implement an Azure SQL Data Warehouse
  • Describe the considerations for developing an Azure SQL Data Warehouse
  • Plan for migrating to 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
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
Lab: Implementing Data Flow in an SSIS Package

After completing this module, you will be able to:

  • Describe ETL with SSIS
  • Explore Source Data
  • Implement a Data Flow
Module 7: Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.

Lessons
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
Lab: Implementing Control Flow in an SSIS Package
Lab: Using Transactions and Checkpoints

After completing this module, you will be able to:

  • Describe control flow
  • Create dynamic packages
  • Use containers
Module 8: Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.

Lessons
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
Lab: Debugging and Troubleshooting an SSIS Package

After completing this module, you will be able to:

  • Debug an SSIS package
  • Log SSIS package events
  • Handle errors in 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
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Temporal Tables
Lab: Extracting Modified DataLab : Loading Incremental Changes

After completing this module, you will be able to:

  • Describe incremental ETL
  • Extract modified data
  • Describe temporal tables
Module 10: Enforcing Data Quality

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

Lessons
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data
Lab: Cleansing DataLab : De-duplicating Data

After completing this module, you will be able to:

  • Describe data quality services
  • Cleanse data using data quality services
  • Match data using data quality services
  • De-duplicate data using data quality services
Module 11: Using Master Data Services

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

Lessons
  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
Lab: Implementing Master Data Services

After completing this module, you will be able to:

  • Describe the key concepts of master data services
  • Implement a master data service model
  • Manage master data
  • Create a master data hub
Module 12: Extending SQL Server Integration Services (SSIS)

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

Lessons
  • Using Custom Components in SSIS
  • Using Scripting in SSIS
Lab: Using Scripts and Custom Components

After completing this module, you will be able to:

  • Use custom components in SSIS
  • Use scripting in SSIS
Module 13: Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS packages.

Lessons
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
Lab: Deploying and Configuring SSIS Packages

After completing this module, you will be able to:

  • Describe an SSIS deployment
  • Deploy an SSIS package
  • Plan SSIS package execution
Module 14: Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.

Lessons
  • Introduction to Business Intelligence
  • Introduction to Reporting
  • An Introduction to Data Analysis
  • Analyzing Data with Azure SQL Data Warehouse
Lab: Using Business Intelligence Tools

After completing this module, you will be able to:

  • Describe at a high level business intelligence
  • Show an understanding of reporting
  • Show an understanding of data analysis
  • Analyze data with Azure SQL data warehouse
 

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