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docs: complete terminology standardization to 'Batch Operations'
- Fixed remaining references in Key features, Table of Contents, and Examples section - Updated all code comments from 'Bulk' to 'Batch' operations - Complete consistency: README now uses 'Batch Operations' throughout to match API design - All references accurately describe passing lists to create(), update(), delete() methods
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β€ŽREADME.mdβ€Ž

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@@ -22,7 +22,7 @@ A Python client library for Microsoft Dataverse that provides a unified interfac
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- [Examples](#examples)
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- [Quick start](#quick-start)
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- [Basic CRUD operations](#basic-crud-operations)
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- [Bulk operations](#bulk-operations)
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- [Batch operations](#batch-operations)
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- [Query data](#query-data)
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- [Table management](#table-management)
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- [File operations](#file-operations)
@@ -32,7 +32,7 @@ A Python client library for Microsoft Dataverse that provides a unified interfac
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## Key features
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- **πŸ”„ CRUD Operations**: Create, read, update, and delete records with support for bulk operations and automatic retry
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- **πŸ”„ CRUD Operations**: Create, read, update, and delete records with support for batch operations and automatic retry
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- **πŸ“Š SQL Queries**: Execute read-only SQL queries via the Dataverse Web API `?sql=` parameter
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- **πŸ—οΈ Table Management**: Create, inspect, and delete custom tables and columns programmatically
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- **πŸ“Ž File Operations**: Upload files to Dataverse file columns with automatic chunking for large files
@@ -145,21 +145,21 @@ client.update("account", account_id, {"telephone1": "555-0199"})
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client.delete("account", account_id)
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```
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### Bulk operations
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### Batch operations
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```python
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# Bulk create
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# Batch create
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payloads = [
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{"name": "Company A"},
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{"name": "Company B"},
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{"name": "Company C"}
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]
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ids = client.create("account", payloads)
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# Bulk update (broadcast same change to all)
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# Batch update (broadcast same change to all)
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client.update("account", ids, {"industry": "Technology"})
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# Bulk delete
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# Batch delete
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client.delete("account", ids, use_bulk_delete=True)
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```
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