Table of Contents

• Introduction
  • Objective: Briefly describe the purpose of the document.
  • Scope: Outline the scope of the document, including any limitations or exclusions.
  • Target Audience: Specify the intended readers of the document.
• Data Sources
  • Data Source Name
    • Data Source Overview: Provide a high-level description of the data source.
    • Data Source Selection Reason: Explain why the data source was chosen.
    • Data Format: Describe the format of the data.
    • Data Model: Detail the data model used in the data source.
    • Data Source Security and Compliance: Discuss security and compliance considerations for the data source.
    • Data Quality Challenges: Identify any issues with data quality.
      • Non-Functional Quality Issues: Describe non-functional data quality issues, such as performance or reliability.
      • Functional Quality Issues: Describe functional data quality issues, such as accuracy or completeness.
• Target Data Management and Success Criteria
  • Target Data Models
    • Conceptual Data Model: Outline the high-level design of the target data model.
    • Logical Data Model: Describe the organization of the data elements and relationships.
    • Physical Data Model: Detail the implementation-specific aspects of the data model.
  • Data Management
    • Data Storage: Explain how data will be stored and maintained.
    • Data Privacy, Security & Compliance: Discuss privacy, security, and compliance considerations for the target data.
    • Data Lifecycle Policies: Describe policies for managing data throughout its lifecycle.
  • Data Model Success Metrics Comparative Estimates: Define success metrics for the data model and provide estimates.
  • Data Integration and Interoperability: Discuss how data will be integrated and made interoperable with other systems.
  • Service/Product Level Agreement: Detail the service or product level agreements in place for data engineering.
• Dependency Management Roadmap: Outline a roadmap for managing dependencies in the data engineering process.
• Data Extraction, Load, and Transformation (ELT): Discuss the overall ELT process.
  • Data ELT Overview Flow Diagram: Provide a visual representation of the ELT process.
  • Data ELT Stages: Describe the stages involved in the ELT process.
    • ELT Job Description
      • ELT Job Objective: State the goal of the ELT job.
      • ELT Job Conceptual Design: Outline the high-level design of the ELT job.
      • ELT Job Technical Design: Detail the technical aspects of the ELT job.
      • [Data Validation](#data
      • Data Validation: Explain the process of validating data during the ELT process.
      • Fault Tolerance and Recovery: Describe the strategies in place for handling faults and recovering from them.
      • Testing: Discuss the testing process for the ELT job.
• Data Pipeline Integration Testing
  • Data Integrity and Consistency Testing: Describe the testing process for ensuring data integrity and consistency.
  • Performance Testing: Discuss the process of testing the performance of the data pipeline.
• Data Pipeline Cost Analysis: Provide an analysis of the costs associated with the data pipeline.
• Data Engineering Monitoring and Reporting
  • Data Quality Monitoring and Reporting: Discuss the process for monitoring and reporting on data quality.
  • Data Accessibility Monitoring and Reporting: Describe the process for monitoring and reporting on data accessibility.
  • Data Pipeline Monitoring: Explain the process for monitoring the data pipeline.
  • Infrastructure Monitoring: Detail the process for monitoring the infrastructure supporting the data pipeline.
  • Data Model Usage Monitoring and Reporting: Discuss the process for monitoring and reporting on data model usage.
  • Data Engineering Troubleshooting: Describe the process for troubleshooting data engineering issues.
• Responsibility Matrix
  • Application Owners: Identify the individuals or teams responsible for owning the data engineering application.
  • Monitoring and Reporting: Detail the responsibilities for monitoring and reporting on the data engineering process.
  • Bug Fixing: Specify the responsibilities for fixing bugs in the data engineering process.
  • Change Request: Describe the process for requesting changes to the data engineering process.
• Supporting Documents: Provide any additional documents that support the data engineering process.
• Appendices: Include any supplementary material or references.
• Glossary: Define any technical terms or acronyms used throughout the document.

Introduction

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Objective

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Scope

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Target Audience

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Data Sources

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Data Source Name

TODO

Data Source Overview

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Data Source Selection Reason

TODO

Data Format

TODO

Data Model

TODO

Data Source Security and Compliance

TODO

Data Quality Challenges

TODO

Non-Functional Quality Issues

TODO

Functional Quality Issues

TODO

Target Data Management and Success Criteria

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Target Data Models

Conceptual Data Model

TODO

Logical Data Model

TODO

Physical Data Model

TODO

Data Management

Data Storage

TODO

Data Privacy, Security & Compliance

TODO

Data Lifecycle Policies

TODO

Data Model Success Metrics Comparative Estimates

TODO

Data Integration and Interoperability

TODO

Service/Product Level Agreement

TODO

Dependency Management Roadmap

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TODO

Data Extraction, Load, and Transformation (ELT)

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Data ELT Overview Flow Diagram

TODO

Data ELT Stages

ELT Job Description

ELT Job Objective

TODO

ELT Job Conceptual Design

TODO

ELT Job Technical Design

TODO

Data Validation

TODO

Fault Tolerance and Recovery

TODO

Testing

TODO

Data Pipeline Integration Testing

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Data Integrity and Consistency Testing

TODO

Performance Testing

TODO

Data Pipeline Cost Analysis

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Data Engineering Monitoring and Reporting

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Data Quality Monitoring and Reporting

TODO

Data Accessibility Monitoring and Reporting

TODO

Data Pipeline Monitoring

TODO

Infrastructure Monitoring

TODO

Data Model Usage Monitoring and Reporting

TODO

Data Engineering Troubleshooting

TODO

Responsibility Matrix

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Application Owners

TODO

Monitoring and Reporting

TODO

Bug Fixing

TODO

Change Request

TODO

Supporting Documents

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Appendices

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TODO

Glossary

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TODO