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MS2795 - Designing an ETL Architecture Using Microsoft SQL 2005

If you have any questions about registering for this class, please call (877) 832-0688 Ext. 1493 or email us at getsmart@LRS.com
*************Please see the custom replacement course - LRS-SSIS: Microsoft SQL Server 2005 Integration Services (SSIS) as we do not have MS2795 on our schedule.******************** 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.
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Prerequisites

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 • 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. • Be familiar with SQL Server 2005 features, tools, and technologies. In particular, they must have built an SSIS package. • 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
 
Detailed Class Syllabus


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.

  • Identifying Data Sources and Destinations

  • Evaluating Source Data

  • Identifying Staging Requirements

  • Lab 1: Planning an ETL Solution

  • Identifying ETL Requirements

  • Examining the Source Data

  • Designing a 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.

  • Planning Packages

  • Planning Package Development

  • Designing Package Control Flow

  • Lab 2: Implementing SSIS Packages

  • Designing an SSIS Solution

  • 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.

  • Understanding Data Flow

  • Designing Data Flow Operations

  • Handling Data Changes

  • Lab 3: Implementing Data Flow

  • Designing Data Flow

  • Implementing Data Flow


  • 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.

  • 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


  • 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

  • Monitoring SSIS Performance

  • Optimizing SSIS Packages

  • Scaling Out SSIS Packages

  • Lab 5: Optimizing Packages

  • Monitoring SSIS

  • Optimizing an SSIS Package


  • 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.

  • Deploying SSIS Packages

  • Operating an SSIS Solution

  • Lab 6: Deploying and Managing Packages

  • Deploying an SSIS Solution

  • Backing Up an SSIS Package
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