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[SCOPED] [Customer-intents] Storage Tables customer intents
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articles/storage/tables/assign-azure-role-data-access.md

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ms.custom: devx-track-azurepowershell, devx-track-azurecli
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# Customer intent: As an IT administrator, I want to assign Azure roles to Microsoft Entra security principals for accessing table data, so that I can ensure proper authorization and maintain security for our cloud storage resources.
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# Assign an Azure role for access to table data

articles/storage/tables/authorize-access-azure-active-directory.md

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ms.topic: concept-article
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ms.date: 02/09/2023
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# Customer intent: "As a cloud administrator, I want to authorize access to Azure table resources using Microsoft Entra ID and Azure RBAC, so that I can manage permissions securely and efficiently for users and applications accessing data."
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# Authorize access to tables using Microsoft Entra ID

articles/storage/tables/monitor-table-storage-reference.md

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author: normesta
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# Customer intent: As a cloud administrator, I want to access monitoring metrics and logs for Azure Table Storage, so that I can effectively track performance and troubleshoot issues in my data storage solution.
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# Azure Table Storage monitoring data reference

articles/storage/tables/monitor-table-storage.md

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ms.service: azure-table-storage
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# ms.devlang: csharp, powershell, azurecli
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# Customer intent: As a cloud administrator, I want to monitor Azure Table Storage metrics and logs, so that I can ensure optimal performance, track resource usage, and diagnose any issues effectively.
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# Monitor Azure Table Storage

articles/storage/tables/scalability-targets.md

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# Customer intent: "As a cloud architect, I want to understand the scalability and performance targets for Table storage, so that I can design applications that efficiently manage large datasets."
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# Scalability and performance targets for Table storage

articles/storage/tables/storage-performance-checklist.md

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# Customer intent: As a developer, I want to follow a performance and scalability checklist for Table storage, so that I can optimize my application and avoid throttling issues while effectively managing data operations.
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# Performance and scalability checklist for Table storage

articles/storage/tables/table-storage-design-for-modification.md

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# Customer intent: As a cloud architect, I want to design tables in Azure Table storage for efficient data modification, so that I can optimize insert, update, and delete operations while maintaining consistency and performance in my applications.
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# Design for data modification
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This article focuses on the design considerations for optimizing inserts, updates, and deletes. In some cases, you will need to evaluate the trade-off between designs that optimize for querying against designs that optimize for data modification just as you do in designs for relational databases (although the techniques for managing the design trade-offs are different in a relational database). The section Table Design Patterns describes some detailed design patterns for the Table service and highlights some these trade-offs. In practice, you will find that many designs optimized for querying entities also work well for modifying entities.

articles/storage/tables/table-storage-design-for-query.md

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# Customer intent: "As a data architect, I want to design Azure Table storage schemas that optimize for query performance, so that I can ensure efficient data retrieval and scalability for applications relying on the table service."
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# Design for querying
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Table service solutions may be read intensive, write intensive, or a mix of the two. This article focuses on the things to bear in mind when you are designing your Table service to support read operations efficiently. Typically, a design that supports read operations efficiently is also efficient for write operations. However, there are additional considerations to bear in mind when designing to support write operations, discussed in the article [Design for data modification](table-storage-design-for-modification.md).

articles/storage/tables/table-storage-design-guidelines.md

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# Customer intent: As a data engineer, I want to design Azure storage tables for optimal read and write efficiency, so that I can ensure high performance and scalability for my applications.
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# Guidelines for table design
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articles/storage/tables/table-storage-design-modeling.md

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# Customer intent: "As a software architect, I want to understand how to model relationships in Azure Table storage, so that I can design an efficient and scalable data structure for my application's entities."
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# Modeling relationships
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This article discusses the modeling process to help you design your Azure Table storage solutions.

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