Velocity for Data Integration Module 12: Sample Project Type Informatica Inc. All rights reserved

Transcription

1 Velocity for Data Integration Module 12: Sample Project Type 2013 Informatica Inc. All rights reserved

2 Module Objectives Sample Project Type module, in review: Describe the major data warehouse project/solution type was address utilizing the Velocity methodology Describe key Velocity deliverables based on project type

3 Auto Parts Vendor Data Warehouse Project Business Challenge Improve operational efficiency around store operations, merchandise and supply chain systems Standardize data integration processes Increase data accuracy using automated tools Informatica chosen to implement a data warehouse solution Robust data cleansing and quality tools Informatica PowerExchange for incremental changed data capture Platform neutrality Informatica Velocity methodology and best practices

4 Auto Parts Vendor Data Warehouse Project Initial assessment identified several issues Multiple disparate data sources and formats Inconsistent, siloes approaches to data integration Poor data quality Project Goal Improved data quality and accuracy Enabled incremental data feeds into data warehouse Delivered real-time information

5 The Velocity Importance to the Project Velocity s methodology with a phased approach, availability of a downloadable project plan (wbs.xls), sample deliverables along with the Informatica platform capabilities were utilized to create several go-lives and mini projects as subject areas and sources are phased into the solution Velocity helped prioritize tasks for best ROI and avoid boil the ocean syndrome Data warehouse project can be very expensive and require man years of effort. Important to show early success and focus on business value.

6 Key Deliverables for Project Success Business Requirements Specification Change Request Form Data Migration Communication Plan Data Quality Mapping Design Functional Requirements Specification Information Requirements Specification Issues Tracking Mapping Inventory Mapping Specifications Metadata Inventory Migration Request Checklist Operations Manual Physical Data Model Review Agenda Project Definition Project Roadmap Project Role Matrix Prototype Feedback Restartability Matrix Scope Change Assessment Source Availability Matrix Source to Target Data Store Matrix System Test Plan Target-Source Element Matrix Technology Evaluation Checklist Test Case List Test Condition Results Unit Test Plan Work Breakdown Structure Development Estimating Model Note: Items in red are key project management documents

7 Best Practices Documents for Project Success Data Connectivity (1) Data Quality and Profiling (13) Development Techniques (14) Error Handling (5) Integration Competency Centers and Enterprise Architecture (2) Metadata and Object Management (4) Metadata Manager Configuration (1) Operations (4) Performance and Tuning (12) PowerCenter Configuration (5) PowerExchange Configuration (3) Project Management (7) Data Services Configuration (4)

8 Velocity for DI Certification Informatica Velocity for Data Integration Certification Navigate the Velocity methodology from enterprise strategies, to individual project types, to discrete tasks and best practices Describe key areas of the methodology at a high level Execute the Design/Build/Test tasks for a generic data integration project Leverage Velocity best practices for architecture and configuration Employ Velocity best practices for mapping design, development, and testing Offered through Informatica University (

9 Module Summary Sample Project Type module, in review: Describe the major data warehouse project/solution type was address utilizing the Velocity methodology Describe key Velocity deliverables based on project type