Your new application requires an analytical data store.
The following are the primary considerations.
-> Primary database model should be relational -> SQL language support -> Supports Query Scale out -> Row level security must be supported Is Azure Synapse SQL Pool suitable for this?
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A. B.Correct Answer: A.
Azure Synapse SQL pool uses relational tables with columnar storage.
It has the capability to query scale out and language support for SQL.
Row-level security can be configured as well.
Yes, Azure Synapse SQL Pool is suitable for an analytical data store that requires a relational model, SQL language support, query scale-out, and row-level security. Azure Synapse SQL Pool is a cloud-based relational database management system that is optimized for data warehousing and analytics workloads. It is designed to handle large volumes of data and support high-concurrency queries.
The primary database model for Azure Synapse SQL Pool is relational, making it suitable for applications that require relational database models. Azure Synapse SQL Pool supports SQL language syntax, which makes it easier to create and manage complex queries. SQL Pool can also support query scale-out, which enables you to run queries on multiple compute nodes simultaneously. This feature improves query performance by distributing the workload across multiple compute nodes.
Azure Synapse SQL Pool also supports row-level security, which allows you to control access to specific rows in a table based on user roles or permissions. This feature helps you to enforce data access policies and ensure data privacy and security.
Overall, Azure Synapse SQL Pool is a suitable choice for an analytical data store that requires a relational model, SQL language support, query scale-out, and row-level security.