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Data Pipeline Release Notes Template#

Overview#

Release notes are essential for communicating data pipeline changes to stakeholders. They help teams understand what changed, what requires action, and how it impacts their work.

Quick Guidelines#

Key Principles:

  • Be clear about what changed and why
  • Highlight any actions required from users
  • Include specific examples for schema changes
  • Use semantic versioning (Major.Minor.Patch)

Target Audience:

  • Data Engineers (technical details, breaking changes)
  • Data Scientists (schema changes, new datasets)
  • Business Users (impact on reports/dashboards)

Simple Release Notes Template#

# [Team Name] Data Pipeline Release Notes - [Pipeline Name]

**Version:** [e.g., v2.1.0]  
**Release Date:** [YYYY-MM-DD]  
**Environment:** [Production/Staging]

## Summary

[2-3 sentences describing what changed and why]

## 🚨 Action Required

[Only include if users need to do something - otherwise remove this section]

- [ ] [Specific action with deadline]

## ⚠️ Breaking Changes

[Only include if there are breaking changes - otherwise remove this section]

- [Description of breaking change and impact]

## 🆕 What's New

- [New feature or capability]
- [New data source or table]

## 🐛 Bug Fixes

- [Issue description and fix]

## 📊 Schema Changes

[Only include if schema changed - otherwise remove this section]

**Table:** `table_name`

| Field | Change | Type | Description |
|-------|---------|------|-------------|
| new_field | Added | STRING | Purpose of field |
| old_field | Removed | - | Migration notes |

## 🚀 Deployment

**Prerequisites:** [Any special requirements]  
**Downtime:** [Expected downtime if any]

## 📞 Questions?

**Contact:** [Team/Person] - [email/teams channel]

Example Release Notes#

# GDAI Data Engineering Data Pipeline Release Notes - SAP Data Ingestion Pipeline

**Version:** v1.4.2  
**Release Date:** 2025-09-22  
**Environment:** Production

## Summary

Enhanced SAP ERP data extraction with new financial modules and improved error handling.
Added support for SAP S/4HANA material master data ingestion and resolved delta extraction issues.

## 🆕 What's New

- SAP S/4HANA Material Master (MARA/MARM) data now available in `sap_material_master` table
- Enhanced financial data extraction from SAP FI modules (GL accounts, cost centers)
- Real-time monitoring dashboard for SAP RFC connection health

## 🐛 Bug Fixes

- Fixed delta extraction logic for SAP customer master data (KNA1 table)
- Resolved SAP RFC timeout issues during peak business hours
- Corrected currency conversion for multi-currency transactions

## 📊 Schema Changes

**Table:** `sap_material_master`

| Field | Change | Type | Description |
|-------|---------|------|-------------|
| material_id | Added | STRING | SAP material number (MATNR) |
| material_type | Added | STRING | Material type code (MTART) |
| base_unit | Added | STRING | Base unit of measure (MEINS) |
| material_group | Added | STRING | Material group (MATKL) |
| created_date | Added | DATE | Material creation date |
| last_changed | Added | TIMESTAMP | Last change timestamp |

**Sample data:**
```json
{
  "material_id": "MAT000001234",
  "material_type": "FERT",
  "base_unit": "EA",
  "material_group": "PHARMA01",
  "created_date": "2025-09-15",
  "last_changed": "2025-09-22T08:30:00Z"
}
```

## 🚀 Deployment

**Prerequisites:** None  
**Downtime:** None expected - deployed with backward compatibility

## 📞 Questions?

**Contact:** GDAI Data Engineering Team

Tips for Common Scenarios#

Schema Changes#

Always include:

  • Table name
  • Field name and type
  • Whether it's added/removed/modified
  • Sample data for new fields

Breaking Changes#

Clearly state:

  • What will stop working
  • When the change takes effect
  • What users need to do
  • Who to contact for help

Performance Changes#

Mention:

  • What improved/degraded
  • By how much (percentages)
  • Any resource usage changes

Remember: Keep it simple, actionable, and focused on what matters most to your users.