Costa Rica
Last updated: 2025-01-24
Important
Please note that these demos are intended as a guide and are based on my personal experiences. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly: Microsoft Sales and Support
Note
Both the table name and column name fields will be reviewed. We'll remove any blank spaces to create the view.
List of References (Click to expand)
Table of Content (Click to expand)
Azure Synapse Analyticsis an integrated analytics service that accelerates time to insight across data warehouses and big data systems. It combines thebest of SQL technologies used in enterprise data warehousing, Spark technologies for big data, and data integration capabilities to provide a unified experience for data professionals
From Microsoft Official Documentation
SQL pools in Azure Synapse Analytics come in two main types:
| Type | Description | Characteristics |
|---|---|---|
| Serverless SQL Pool (built in) | This is a built-in, on-demand query service in Azure Synapse Analytics. You don't need to provision or manage any infrastructure. You simply run your queries, and you're billed based on the amount of data processed. It's great for ad-hoc querying and exploring data in your data lake without worrying about the underlying infrastructure. | - A query service over data in your data lake. - No infrastructure setup or clusters to maintain. - Pay-per-use model, charging only for the data processed by queries. - Suitable for ad-hoc querying and data exploration. |
| Dedicated SQL Pool (formerly SQL DW) | This requires you to provision and manage a set of resources (Data Warehousing Units or DWUs). You have control over the performance and scale of your data warehouse, but it also means you need to manage the infrastructure. It's ideal for large-scale, high-performance analytics and data warehousing. | - A collection of analytic resources provisioned when using Synapse SQL. - Uses Data Warehousing Units (DWU) to determine size and performance. - Ideal for large-scale data warehousing and high-performance analytics. |
Synapse views are
virtual tables created by querying data from one or more tables in Azure Synapse Analytics. They don't store data themselves but provide a way to simplify complex queries and reuse them. Views can be created over both dedicated and serverless SQL pools.
