Implementing a SQL Data Warehouse (20767) Training Course
> Certification Preparation Training Course
> Available in venues throughout Wales
> Classroom and Virtual courses available
> Onsite and customised courses available
> ReAct and Access funding accepted
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Course Information
This five-day instructor-led course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.
Module 1: Introduction to Data Warehousing
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehouse Solution
- Exploring data sources
- Exploring an ETL process
- Exploring a data warehouse
Module 2: Planning Data Warehouse Infrastructure
- Considerations for data warehouse infrastructure.
- Planning data warehouse hardware.
Lab : Planning Data Warehouse Infrastructure
- Planning data warehouse hardware
Module 3: Designing and Implementing a Data Warehouse
- Data warehouse design overview
- Designing dimension tables
- Designing fact tables
- Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse Schema
- Implementing a star schema
- Implementing a snowflake schema
- Implementing a time dimension table
Module 4: Columnstore Indexes
- Introduction to Columnstore Indexes
- Creating Columnstore Indexes
- Working with Columnstore Indexes
Lab : Using Columnstore Indexes
- Create a Columnstore index on the FactProductInventory table
- Create a Columnstore index on the FactInternetSales table
- Create a memory optimized Columnstore table
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 Warehouse
- Create an Azure SQL data warehouse database
- Migrate to an Azure SQL Data warehouse database
- Copy 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
- Exploring source data
- Transferring data by using a data row task
- Using transformation components in a data row
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
- Using tasks and precedence in a control flow
- Using variables and parameters
- Using containers
Lab : Using Transactions and Checkpoints
- Using transactions
- Using 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
- Debugging an SSIS package
- Logging SSIS package execution
- Implementing an event handler
- Handling errors in data flow
Module 9: Implementing a Data Extraction Solution
- Introduction to Incremental ETL
- Extracting Modified Data
- Loading modified data
- Temporal Tables
Lab : Extracting Modified Data
- Using a datetime column to incrementally extract data
- Using change data capture
- Using the CDC control task
- Using change tracking
Lab : Loading a data warehouse
- Loading data from CDC output tables
- Using a lookup transformation to insert or update dimension data
- Implementing a slowly changing dimension
- Using the merge statement
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
- Creating a DQS knowledge base
- Using a DQS project to cleanse data
- Using DQS in an SSIS package
Lab : De-duplicating Data
- Creating a matching policy
- Using a DS project to match 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
- Creating a master data services model
- Using the master data services add-in for Excel
- Enforcing business rules
- Loading data into a model
- Consuming master data services data
Module 12: Extending SQL Server Integration Services (SSIS)
- Using scripting in SSIS
- Using custom components in SSIS
Lab : Using scripts
- Using a script task
Module 13: Deploying and Configuring SSIS Packages
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
Lab : Deploying and Configuring SSIS Packages
- Creating an SSIS catalog
- Deploying an SSIS project
- Creating environments for an SSIS solution
- Running an SSIS package in SQL server management studio
- Scheduling SSIS packages with SQL server agent
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
- Exploring a reporting services report
- Exploring a PowerPivot workbook
- Exploring a power view report
This course prepares candidates to take the Microsoft official exam.
Please note the exams are not included in the course and must be booked separately through Pearson Vue.
This course includes:
- Training from a Microsoft Certified Trainer (MCT)
- Computer / Laptop to use for the duration of the course
- Microsoft official courseware
- Online labs (if available)
- Refreshments
Course Key Points
Duration: 5 days
Accredited: Available
Exam(s): Not Included
Practice Exam(s): Not Included
Type: Available as Classroom, Virtual Live and In-house
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All quoted prices are exclusive of VAT for consumers who pay no VAT or can recover VAT. The current rate of VAT is 20% for consumers that are required to pay VAT. All course bookings are subject to availability.