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# 7 Techniques to Enhance Graph Data Ingestion with Python in ArangoDB

**[Towards AI](https://daily.dev/sources/tai)** · 4 min read · 1 upvotes · 0 comments

## Summary

This post discusses techniques to enhance graph data ingestion with Python in ArangoDB. It covers utilizing import_bulk with a batch size, leveraging Pandas and import_bulk for relation creation, harnessing Batch API for streamlined relation queries, enhancing maximum memory map configuration, batch iteration through collections to mitigate timeout and reconnect issues, increasing timeout of ArangoDB client and TTL value for queries, and defining additional indexes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsai.net/p/machine-learning/7-techniques-to-enhance-graph-data-ingestion-with-python-in-arangodb>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#architecture](https://daily.dev/tags/architecture), [#data-engineering](https://daily.dev/tags/data-engineering), [#arangodb](https://daily.dev/tags/arangodb)

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