VTEC Training
Course Code: 5425
20767 Implementing a SQL Data Warehouse
VTEC Training
Portland,
ME
Class Dates:
5/24/2021
7/12/2021
Length:
5 Days
Cost:
$2495
Class Time:
Technology:
Database
Delivery:
Instructor-Led Training, Virtual Instructor-Led Training
Overview
- Course Overview
- This five-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.
- Audience
- 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.
Prerequisites
- 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
Recommended Courses:
- 20761 Querying Data with Transact-SQL
Course Details
- 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
- Planning data warehouse hardware.
- Lab : Planning Data Warehouse Infrastructure
- Module 3: Designing and Implementing a Data Warehouse
- Designing dimension tables
- Designing fact tables
- 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
- Copying data with the Azure data factory
- Lab : Implementing an Azure SQL Data WarehouseCopying data with the Azure data factory
- 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
- Managing consistency.
- 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
- Module 9: Implementing a Data Extraction Solution
- Introduction to Incremental ETL
- Extracting Modified Data
- Loading 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
- Introduction to Master Data Services
- Implementing a Master Data Services Model
- Hierarchies and collections
- Creating a Master Data Hub
- Lab : Implementing Master Data Services
- Module 12: Extending SQL Server Integration Services (SSIS)
- Using Scripting in SSIS
- Using custom components in SSIS
- Lab : Using Scripts and Custom Components
- Module 13: Deploying and Configuring SSIS Packages
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
- Lab : Deploying and Configuring SSIS Packages
- Module 14: Consuming Data in a Data Warehouse
- Introduction to Business Intelligence
- An Introduction to Data Analysis
- Introduction to Reporting
- Analyzing Data with Azure SQL Data Warehouse
- Lab : Using a data warehouse