Creating Azure SQL Data Warehouse Databases

Learn how you can create an Azure SQL Warehouse database quickly and easily.

The Full Backup for Azure SQL Data Warehouse

Stop or Start, Big or Small. The Scalability of Azure SQL Data Warehouse

Learn how to scale an Azure SQL Datawarehouse up or down, and how to pause it when not in use.

Data Warehousing in the cloud – Azure Style

Learn about Azure SQL Data Warehouse and how to get started.

Getting Started with Azure SQL Data Warehouse - Part 2

Arshad Ali discusses the architecture of Azure SQL Data Warehouse and how you can scale up or down, based on your need.

Adding More Power

Getting Started with Azure SQL Data Warehouse - Part 1

As the demand for data analytics grows so does the need for a technology or platform to process large amounts of different types of data in timely manner. Azure SQL Data Warehouse is a new enterprise-class, elastic petabyte-scale, data warehouse service that can scale according to organizational demands in just a few minutes. Read on to learn more about this data warehouse-as-a-service offering from Microsoft.

What is Azure SQL Data Warehouse?

Azure SQL Data Warehouse is a cloud-based, scale-out database capable of processing massive volumes of data, both relational and non-relational. Built on our massively parallel processing (MPP) architecture, SQL Data Warehouse can handle your enterprise workload.

What is Azure SQL Data Warehouse?

Azure SQL Data Warehouse is a cloud-based, scale-out database capable of processing massive volumes of data, both relational and non-relational. Built on our massively parallel processing (MPP) architecture, SQL Data Warehouse can handle your enterprise workload.

Azure SQL Data Warehouse: Explaining the Architecture Through System Views

The architecture of Azure SQL Data Warehouse isn't easy to explain briefly, but if you have some useful queries that access the management and catalog views, and diagrams that show how they relate together, you can very quickly get a feel for what is going on under the hood. By using and extending these queries that use these views, you can check on a variety waits, blocking, status, table distribution and data movement in ASDW.