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This three-day instructor-led course provides students who wish to administer and maintain a SQL Server data warehouse and ETL infrastructure using SQL Server Integration Services (SSIS).

Target Audience

The primary audience for this course is individuals who will administer and maintain a SQL Server data warehouse and create and maintain SSIS packages.

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

Essential:

Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of Transact-SQL. (equivalent knowledge to QATSQL and QATSQLPLUS)

Nice to have:

Working knowledge of relational databases.
Some experience with database design.

After completing this course, students will be able to:

Design a data warehouse
Build a data warehouse
Implement ETL control and data tasks
Control transactions and maintain consistency
Implement incremental updates
Manage and run packages
Debug packages

Module 1 : Data warehouse Overview

This module introduces the main terms used within data warehousing.

Lessons:

What is a data warehouse?
Components of a data warehouse
Data warehouse project roles
Using SQL Server as a data warehousing solution
Lab diagram

Module 2: Designing and implementing a data warehouse

This module is aimed at designing and implementing the data warehouse. The first few lessons cover the design including fact tables and different variations of dimension table.

Lessons:

Dimensional Model
Dimensions and fact tables
Star and snowflake schemas
Slowly changing dimensions
Partitioned tables
Measures
Time and junk dimensions
Indexes and compression
LAB A: Designing a data warehouse
LAB B: Creating the data warehouse
LAB C: Create a fact table
LAB D: Create dimension tables

Module 3: Implementing a control flow in an SSIS package

This module looks at the tasks within the control flow of the SSIS package. The lessons will cover the tasks primarily aimed at the data warehouse.

Lessons:

Introduction to SSIS
Control flow
Advanced control flow
Containers
Precedence
Consistency
LAB A: Create a basic control flow task
LAB B: Using variable and parameters
LAB C: Using a for each loop
LAB D: Using transactions and checkpoints

Module 4: Implementing extract, transform and load with SSIS

This module covers the aspects of the SSIS package working with the data flow.

Lessons:

Introduction to extract, transform and load (ETL)
Data sources
Destinations and transformations
LAB A: Using the SQL Server import and export wizard
LAB B: Profiling a source
LAB C: Implement a data flow with transformations

Module 5: Debugging and troubleshooting SSIS packages.

This module covers the tools available to record events and handle errors.

Lessons:

SSIS debugging
SSIS event logging
Error handling
LAB A: Debugging an SSIS package
LAB B: Configuring event logging
LAB C: Implement error handling

Module 6: Implementing an incremental ETL process

This module covers the creation and running of a SSIS package for implementing the change data capture (CDC) tool.

Lessons:

Introduction to incremental extract, transform and load
Configuring incremental ETL
Keeping historical data
LAB A: Using CDC
LAB B: Implementing slowly changing dimensions

Module 7: Deploying and configuring SSIS packages

This module covers the deployment and scheduling of SSIS packages. The packages can use environment variables.

Lessons:

Package deployment options
Running SSIS packages
Validation and logging
LAB A: Creating an SSIS catalog, environments and deploying a project
LAB B: Running an SSIS package

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

12 August 2024