Beskrivelse
Lær, hvordan du kan anvende, designe og implementere et data warehouse med Microsoft SQL Server og Azure SQL Data Warehouse samt udvikling af ETL-løsninger med SQL Server Integration Services (SSIS). På kurset lærer du også om opbygning af et data warehouse samt udvikle en ETL-løsning, der håndterer overførsel og rensning af data med bla. SQL Server Data Quality Services og SQL Server Master Data Services.
Deltagerprofil
Kurset er for dig, der til daglig arbejder med Business Intelligence. Du forventes at have et godt praktisk kendskab til relationelle databaser, Transact-SQL og grundlæggende viden om Data Warehouses, da kurset er på et højt teknisk niveau. Har du grundlæggende kendskab til programmering, vil det være en fordel.
Indhold
Module 1: Introduction to Data Warehousing
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Module 2: Planning Data Warehouse Infrastructure
Considerations for Building a Data Warehouse
Data Warehouse Reference Architectures and Appliances
Module 3: Designing and Implementing a Data Warehouse
Logical Design for a Data Warehouse
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Physical Design for a Data Warehouse
Module 4: Columnstore Indexes
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
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
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
Module 7: Implementing Control Flow in an SSIS Package
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Module 8: Debugging and Troubleshooting SSIS Packages
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Module 9: Implementing an Incremental ETL Process
Introduction to Incremental ETL
Extracting Modified Data
Temporal Tables
Module 10: Enforcing Data Quality
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Module 11: Using Master Data Services
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)
Using Custom Components in SSIS
Using Scripting in SSIS
Module 13: Deploying and Configuring SSIS Packages
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Module 14: Consuming Data in a Data Warehouse
Introduction to Business Intelligence
Introduction to Reporting
An Introduction to Data Analysis
Analyzing Data with Azure SQL Data Warehouse
Microsoft Software Assurance Vouchere Du kan betale kurset med 5 SA vouchere.
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Deltagerprofil Kurset er for dig, der til daglig arbejder med Business Intelligence. Du forventes at have et godt praktisk kendskab til relationelle databaser, Transact-SQL og grundlæggende viden om Data Warehouses, da kurset er på et højt teknisk niveau. Har du grundlæggende kendskab til programmering, vil det være en fordel.
Lær, hvordan du kan anvende, designe og implementere et data warehouse med Microsoft SQL Server og Azure SQL Data Warehouse samt udvikling af ETL-løsninger med SQL Server Integration Services (SSIS). På kurset lærer du også om opbygning af et data warehouse samt udvikle en ETL-løsning, der håndterer overførsel og rensning af data med bla. SQL Server Data Quality Services og SQL Server Master Data Services. Microsoft Software Assurance Vouchere Du kan betale kurset med 5 SA vouchere.
Indhold Module 1: Introduction to Data Warehousing
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Module 2: Planning Data Warehouse Infrastructure
Considerations for Building a Data Warehouse
Data Warehouse Reference Architectures and Appliances
Module 3: Designing and Implementing a Data Warehouse
Logical Design for a Data Warehouse
Physical Design for a Data Warehouse
Module 4: Columnstore Indexes
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
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
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
Module 7: Implementing Control Flow in an SSIS Package
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Module 8: Debugging and Troubleshooting SSIS Packages
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Module 9: Implementing an Incremental ETL Process
Introduction to Incremental ETL
Extracting Modified Data
Temporal Tables
Module 10: Enforcing Data Quality
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Module 11: Using Master Data Services
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)
Using Custom Components in SSIS
Using Scripting in SSIS
Module 13: Deploying and Configuring SSIS Packages
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Module 14: Consuming Data in a Data Warehouse
Introduction to Business Intelligence
Introduction to Reporting
An Introduction to Data Analysis
Analyzing Data with Azure SQL Data Warehouse