KodeKloud Notes

In this final section, we explore the primary roles and responsibilities required to manage Azure Table Storage effectively. Understanding these roles helps ensure secure access, optimal performance, and maintainable schema design.

Role	Primary Responsibilities
Users	- Interact with Table Storage through applications rather than direct access<br>- Require assigned permissions for both user accounts and service principals
Administrators	- Also known as Database Administrators (DBAs)<br>- Grant and revoke access rights to control who can perform specific actions<br>- Perform backups and restores for recovery
Analysts & Developers	- Determine optimal `PartitionKey` and `RowKey` values to distribute data and speed up queries<br>- Define entity properties to enforce a consistent schema<br>- Monitor performance and refine queries

The image outlines roles and responsibilities for users, administrators, and analysts/developers, detailing tasks like data extraction, security management, and key design.

Schema Flexibility

Azure Table Storage supports a semi-structured schema: each entity can have different properties. However, aligning on a core set of attributes per row prevents uncontrolled schema growth and simplifies data handling.

Key Takeaways

Deployment Options
- Native Azure Table Storage
- Azure Cosmos DB Table API for global distribution and low latency
NoSQL Key–Value Model
- Each entity (row) holds all related data for a single transaction
Required Keys
- Every row must include a PartitionKey, RowKey, and Timestamp
PartitionKey
- Determines how data is distributed across storage nodes
- Narrow your query to a single partition to limit scanned rows and improve performance
RowKey
- Unique within its partition and automatically indexed for fast lookups
- Requires an exact PartitionKey match to leverage the index
Flexible Schema
- Store varying properties per row
- Maintain a baseline attribute set to ensure consistency and manageability

Performance Tip

An unbalanced partition strategy (e.g., “hot” partitions) can cause throttling. Monitor access patterns and adjust your PartitionKey design to distribute load evenly.

Links and References

Watch Video

Watch video content