Designing an ETL Solution Architecture Using Microsoft SQL Server 2005 Integration Services
Objetivo:
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.
Carga Horαria: 16 Horas
Conteúdo:
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
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
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
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
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
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
After completing this module, students will be able to:
Deploy an SSIS solution.
Operate an SSIS Solution.
Pre-Requisitos:
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
Diferencial:
- Um micro por aluno
- Rede Wirelles
- Coffee Break de qualidade
- Internet Full Time
Desenvolvedor do Curso:
MICROSOFT
Cursos de Pre-Requisitos:
MS2779 - Obrigatorio
MS2780 - Obrigatorio
MS2794 - Obrigatorio