# 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

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**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/