# Data Processing

Tutorials for large-scale data processing and batching strategies.

### [Batching strategies](https://www.union.ai/docs/v2/union/tutorials/data-processing/micro-batching/page.md)

Process millions of items efficiently with resilient, scalable batching patterns built on Flyte v2.

## Subpages

- [Batching strategies](https://www.union.ai/docs/v2/union/tutorials/data-processing/micro-batching/page.md)
  - Use Case
  - Goals
  - Solution Architecture
  - 1. Failure transparency with @flyte.trace
  - 2. Reusable Containers for Efficiency
  - Key Benefits:
  - Architecture Flow:
  - Architecture Diagram
  - Implementation
  - Step 0: Set up the runtime
  - Step 1: Initialize Flyte Configuration
  - Step 2: Define Container Image
  - Step 3: Define Task Environments
  - Step 4: Define External Service Interactions
  - Step 5: Implement the Batch Processing Task
  - Step 6: Implement the Orchestrator Workflow
  - Step 7: Execute the Workflow
  - Batch Size Selection
  - Summary

---
**Source**: https://github.com/unionai/unionai-docs/blob/main/content/tutorials/data-processing/_index.md
**HTML**: https://www.union.ai/docs/v2/union/tutorials/data-processing/