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When should I use Azure data warehouse?
Azure SQL Data Warehouse is designed for data analytics performance when working with massive amounts of data. It can do this because of its MPP architecture. This means that a query is processed by a dedicated node that has its own CPU and Memory. The ability to pause and resume the service.
Is Azure SQL data warehouse High Availability?
Azure SQL Database and Azure SQL Managed Instance feature a built-in high availability solution, that is deeply integrated with the Azure platform. In addition, SQL Database and SQL Managed Instance leverage the Always On availability group technology from the SQL Server instance for replication and failover.
Which is the next evolution of Azure SQL data warehouse?
On November fourth, we announced Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale.
Which is a good database for data warehouse?
Azure SQL database is a good fit for a data warehouse with a small data size and low volume data loads. It provides ease of maintenance, predictable cost and flexible RPOs.
Which is the best analytical store for Azure?
In Azure, this analytical store capability can be met with Azure Synapse, or with Azure HDInsight using Hive or Interactive Query. In addition, you will need some level of orchestration to move or copy data from data storage to the data warehouse, which can be done using Azure Data Factory or Oozie on Azure HDInsight.
Why is Azure SQL DW a good fit?
The distributed nature of Azure SQL DW allows for storage and compute to be decoupled, which in turn offers independent billing and scalability.