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Velocity: Informatica Best Practices & Methodology

onDemand | Velocity | Self-Paced

Velocity: Informatica Best Practices & Methodology 

Course Overview

This course explains how to use the Informatica Velocity Methodology elements to guide successful data integration project implementations throughout the full lifecycle to include:

  • The use of the Work breakdown structure to outline all implementation activities including project phases, sub-phases, and tasks for each type of data management projects.
  • Role definitions help all team members focus on the appropriate tasks for their functions.
  • Product Best Practices guide both individual project types (e.g., data warehousing, data migration) and technology types (e.g., databases, applications).
  • Sample deliverables furnish practical examples of requirement specifications and test plans.

The training class instructs your staff to serve in any data integration project team role and to perform with the same methodology as practiced by Informatica.

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Informatica Velocity 9 for DI Certification

Certification is a critical part of any training program. At the conclusion of the Informatica Product Best Practices Training Class, the participants will be prepared to take the Informatica Velocity for Data Integration certification exam. This exam is an optional step that can be taken by the class participants to validate their learning. The Informatica Velocity 9 for DI Certification verifies your ability to:

  • Navigate the Velocity methodology from enterprise strategies, to individual project types, to discrete tasks and product best practices.
  • Describe key areas of the methodology
  • Execute the Design/Build/Test tasks for a generic Data Integration project.
  • Leverage Velocity product best practices for architecture and configuration.
  • Employ Velocity product best practices for mapping design, development, and testing.

Participants who pass the exam are recognized as Informatica Velocity Certified Consultants for Data Integration.

Certification Information

Informatica Velocity for Data Integration Certification is available through the Informatica Certified Professional Program. Please visit www.informatica.com/certification/ for additional details.

Target Audience

  • Informatica Data Integration Developers and Project Leads

Prerequisites

  • Basic PowerCenter knowledge

Agenda

Module 01: Velocity Introduction and Overview

  • Overview of Velocity Methodology
  • Discuss Program history and progress
  • Describe Velocity content
  • Discuss how Velocity helps partners and customers make best use of the Methodology
  • Navigate through Velocity links and locate objects within the methodology documentation

Module 02: Velocity Methodology Core

  • Discuss Methodology Core
  • Discuss Project Types
  • Describe Project Phases
  • Recognize Project Roles

Module 03: Velocity Use and Deployment

  • Describe how one can use Velocity
  • Review example case studies for Velocity usage
  • List key reasons to leverage a methodology

Module 04: Phase 1 Manage


Module 05: Phase 2 Analyze

  • Discuss Phase 2: Analyze
  • Discuss the importance of data quality audit to a project

Module 06: Phase 3 Architect

  • Describe the Architecture phase
  • Discuss key points in developing a PowerCenter Architecture
  • List the installation and configuration recommendations

Module 07: Phase 4 Design

  • Describe the Design Phase
  • Describe the iteration process

Module 08: Phase 5 Build

  • Discuss the Velocity Build Phase
  • Create a mapping inventory and mapping specification document
  • Describe key best practices for mapping development in order to build high performance mappings in an efficient manner

Module 09: Phase 6 Test

  • Discuss Phase 6: Test
  • Discus test strategy and testing technique
  • Discuss performance tuning overview
  • Discuss how delivering a quality data integration system depends on sufficient testing

Module 10: Phase 7 Deploy

  • Understand key steps to deploying solutions to production
  • Understand key items required to support production systems in the Operate phase
  • Discuss the importance of deployment and planning
  • Discuss why successful projects can fail in the final execution stages

Module 11: Phase 8 Operate

  • Understand key items required to support systems in the Operate phase
  • Discuss the importance of operation planning
  • Discuss why successful projects can fail in the final execution stages

Module 12: Sample Project Type

  • Describe the major data warehouse project/solution type was address utilizing the Velocity Methodology
  • Describe key Velocity deliverables based on project type

 
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onDemand | Velocity | Self-Paced

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