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20767 Implementing a SQL Data Warehouse

Informator
Kort om utbildningen
0 dagar
36 950 SEK Momsfri
Nästa tillfälle: 2020-12-07 - Göteborg
Distans, Göteborg, Stockholm
Kommande starter
Göteborg
36 950 SEK
2020-12-07

Kursbeskrivning


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.

Course Outline
Module 1: Introduction to Data Warehousing
Describe data warehouse concepts and architecture considerations.

Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure
This module describes the main hardware considerations for building a data warehouse.

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 WarehouseThis 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

Module 4: Columnstore Indexes
This module introduces Columnstore Indexes.

Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Module 5: Implementing an Azure SQL Data Warehouse
This module describes Azure SQL Data Warehouses and how to implement them.

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

Module 6: Creating an ETL Solution
At the end of this module you will be able to implement data flow in a SSIS package.

Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow

Module 7: Implementing Control Flow in an SSIS Package
This module describes implementing control flow in an SSIS package.

Introduction to Control Flow
Creating Dynamic Packages
Using Containers

Module 8: Debugging and Troubleshooting SSIS Packages
This module describes how to debug and troubleshoot SSIS packages.

Debugging an SSIS Package
Logging SSIS Package Events
Handling 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.

Introduction to Incremental ETL
Extracting Modified Data
Temporal Tables

Module 10: Enforcing Data Quality
This module describes how to implement data cleansing by using Microsoft Data Quality services.

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

Module 11: Using Master Data Services
This module describes how to implement master data services to enforce data integrity at source.

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

Module 12: Extending SQL Server Integration Services (SSIS)
This module describes how to extend SSIS with custom scripts and components.

Using Custom Components in SSIS
Using Scripting in SSIS

Module 13: Deploying and Configuring SSIS Packages
This module describes how to deploy and configure SSIS packages.

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Module 14: Consuming Data in a Data Warehouse
This module describes how to debug and troubleshoot SSIS packages.

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

At course completion
After completing this course, students will be able to:

Describe the key elements of a data warehousing solution
Describe the main hardware considerations for building a data warehouse
Implement a logical design for a data warehouse
Implement a physical design for a data warehouse
Create columnstore indexes
Implementing an Azure SQL Data Warehouse
Describe the key features of SSIS
Implement a data flow by using SSIS
Implement control flow by using tasks and precedence constraints
Create dynamic packages that include variables and parameters
Debug SSIS packages
Describe the considerations for implement an ETL solution
Implement Data Quality Services
Implement a Master Data Services model
Describe how you can use custom components to extend SSIS
Deploy SSIS projects
Describe BI and common BI scenarios

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