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Azure Storage Services

Manage Azure Storage services including Blob, File Shares, Queues, Tables, and Data Lake

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references/sdk/azure-data-tables-py.md

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Tables — Python SDK Quick Reference

Condensed from azure-data-tables-py. Full patterns (batch operations, async client, typed entities, query parameters) in the azure-data-tables-py plugin skill if installed.

Install

pip install azure-data-tables azure-identity

Quick Start

Auth: DefaultAzureCredential is for local development. See auth-best-practices.md for production patterns.

from azure.data.tables import TableClient
from azure.identity import DefaultAzureCredential
table_client = TableClient("https://<account>.table.core.windows.net", "mytable", DefaultAzureCredential())

Best Practices

Design partition keys for query patterns and even distribution
Query within partitions whenever possible (cross-partition is expensive)
Use batch operations for multiple entities in same partition
Use upsert_entity for idempotent writes
Use parameterized queries to prevent injection
Keep entities small — max 1MB per entity
Use async client for high-throughput scenarios