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.
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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Vorkenntnisse
This course requires that you meet the following prerequisites:
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
Some experience with database design
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Detail-Inhalte
Module 1: Introduction to Data Warehousing
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Lab: Exploring a Data Warehouse Solution
Module 2: Planning Data Warehouse Infrastructure
Considerations for Building a Data Warehouse
Data Warehouse Reference Architectures and Appliances
Lab: Planning Data Warehouse Infrastructure
Module 3: Designing and Implementing a Data Warehouse
Logical Design for a Data Warehouse
Physical Design for a Data Warehouse
Lab: Implementing a Data Warehouse Schema
Module 4: Columnstore Indexes
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
Lab: Using 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
Lab: Implementing an Azure SQL Data Warehouse
Module 6: Creating an ETL Solution
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
Lab: Implementing Data Flow in an SSIS Package
Module 7: Implementing Control Flow in an SSIS Package
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Lab: Implementing Control Flow in an SSIS Package
Lab: Using Transactions and Checkpoints
Module 8: Debugging and Troubleshooting SSIS Packages
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Lab: Debugging and Troubleshooting an SSIS Package
Log SSIS package events
Handle errors in an SSIS package
Module 9: Implementing an Incremental ETL Process
Introduction to Incremental ETL
Extracting Modified Data
Temporal Tables
Lab: Extracting Modified Data
Lab: Loading Incremental Changes
Module 10: Enforcing Data Quality
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Lab: Cleansing Data
Lab: De-duplicating 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
Lab: Implementing Master Data Services
Module 12: Extending SQL Server Integration Services (SSIS)
Using Custom Components in SSIS
Using Scripting in SSIS
Lab: Using Scripts and Custom Components
Module 13: Deploying and Configuring SSIS Packages
