Designing an ETL Solution Architecture Using Microsoft SQL Server
2005 Integration Services
Course 2795
Two days; Instructor-Led
Introduction
Elements of this syllabus are subject to change.
The purpose of this 2-day instructor-led course is to teach Business
Intelligence (BI) professionals working in enterprise environments to
design an extract, transform, and load (ETL) solution that supports their
BI solution. Students will learn how to plan an ETL solution, and specifically
how to design and implement a SQL Server Integration Services (SSIS) based
ETL solution. They will also learn how to monitor, optimize, and deploy
an SSIS solution.
The course focuses on the planning and design aspects of an ETL solution
and does not teach students how to create SSIS packages or how to use
the development tools provided with SQL Server 2005.
Audience
This course is intended for experienced Business Intelligence
(BI) professionals. The target students for this course already have experience
of using the SQL Server 2005 tools to implement ETL functionality, but
need to develop their understanding of design principles and best practices
when planning, implementing, and deploying an ETL solution.
At Course Completion
After completing this course, students will be able to:
• Plan data transfer and staging solutions for an ETL operation.
• Plan an SSIS Solution.
• Design and implement data flows.
• Incorporate logging, error handling, and reliability into
a package.
• Optimize an SSIS solution.
• Deploy and operate an SSIS solution.
Prerequisites
2559 Introduction to VB.Net
Before attending this course, students must:
• Have hands-on experience with database development tasks. For
example:
• Creating Transact-SQL queries
• Writing and optimizing advanced queries (for example, queries
that contain complex joins or subqueries)
• Creating database objects such as tables, views, and indexes
• Be familiar with SQL Server 2005 features, tools, and technologies.
In particular, they must have built an SSIS package.
• Have foundational conceptual understanding of data warehousing,
data marts, and Business Intelligence. Students must be well-versed
on the subjects of data warehousing, data marts, and BI, and preferably
have read at least one book by Ralph Kimball or Bill Inmon.
• Have a conceptual understanding of ETL processes.
• Have foundational understanding of Microsoft Windows security.
For example, how groups, delegation of credentials, and impersonation
function in a security context.
• Have foundational understanding of Web-based architecture.
For example, SSL, SOAP, and IIS-what they are and what their role
is.
• Already know how to use:
• Microsoft Office Visio
• Microsoft SQL Server Business Intelligence Development Studio
• Microsoft SQL Server Management Studio
• Performance Monitor
• Microsoft SQL Server Profiler
Course Outline
Module 1: Planning for ETL
In this module, Students will learn how to plan the way in which data
will be transferred and staged in an ETL solution.
Lessons
• Identifying Data Sources and Destinations
• Evaluating Source Data
• Identifying Staging Requirements
Lab 1: Planning an ETL Solution
• Identifying ETL Requirements
• Examining Source Data
After completing this module, students will be able to:
• Plan data access and load operations.
• Evaluate source data.
• Design the ETL staging environment.
Module 2: Planning an SSIS Solution
In this module, students will learn how to plan an SSIS-based ETL solution.
Specifically, they will learn how to plan SSIS packages, how to plan an
effective package development process, and how to design the control flow
within the packages.
Lessons
• Planning Packages
• Planning Package Development
• Designing Package Control Flow
Lab 2: Implementing SSIS Packages
• Designing an SSIS Solution
• Creating a Package Template
• Implementing SSIS Packages
After completing this module, students will be able to:
• Plan SSIS packages.
• Plan package development.
• Design package control flow.
Module 3: Designing Data Flow
In this module, students will learn how to design data flows that extract,
transform, and load data. They will also learn about factors to consider
when working with slowly changing dimensions (SCDs) and when implementing
custom SCD transformations.
Lessons
• Understanding Data Flow
• Designing Data Flow Operations
• Handling Data Changes
Lab 3: Implementing Data Flow
• Designing Data Flow
• Implementing Data Flow
After completing this module, students will be able to:
• Describe how data flows work in SSIS.
• Design data flow operations
• Design data flows for updated data.
Module 4: Logging, Error Handling, and Reliability
In this module, students will learn how to incorporate logging, error
handling, and reliability into your SSIS package designs. The module covers
standard logging, custom logging, and log reporting. The module also teaches
students how to implement error handling and how to handle bad data. Finally,
the module shows students how to implement a transaction strategy, use
checkpoints, and handle restarts and rollbacks.
Lessons
• Logging ETL Operations
• Handling Errors in SSIS
• Implementing Reliable ETL Processes with SSIS
Lab 4: Implementing Reliable Packages
• Implementing Logging
• Implementing Error Handling
• Implementing Transactions and Checkpoints
After completing this module, students will be able to:
• Design and implement logging in an SSIS package.
• Design and implement error handling in an SSIS package.
• Design and implement reliability in an SSIS package.
Module 5: Optimizing an SSIS Solution
In this module students will learn how to monitor and optimize SSIS performance.
They will also learn how to scale-out SSIS packages
Lessons
• Monitoring SSIS Performance
• Optimizing SSIS Packages
• Scaling Out SSIS Packages
Lab 5: Optimizing Packages
• Monitoring SSIS
• Optimizing an SSIS Package
After completing this module, students will be able to:
• Monitor SSIS packages.
• Optimize SSIS packages.
• Design scale-out solutions for SSIS packages.
Module 6: Deploying and Operating an SSIS Solution
This module describes considerations for deploying an SSIS solution into
a production environment. It also discusses some of the issues related
to operations and management that you must consider when planning an SSIS
solution.
Lessons
• Deploying SSIS Packages
• Operating an SSIS Solution
Lab 6: Deploying and Managing Packages
• Deploying an SSIS Solution
• Backing Up an SSIS Package
After completing this module, students will be able to:
• Deploy an SSIS solution.
• Operate an SSIS Solution.
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