How Azure SQL Data Warehouse is Redefining Elasticity

The article focuses on Azure SQL Data Warehouse and how it is redefining Elasticity and has become the best choice for leading enterprises.

Elasticity is one of the most prominent features of Cloud Computing. It’s the ability to release resources and promptly providing the requirements of workload. Such level of provisioning can save user resources and money in critical situations.

It can be achieved with the help of Azure SQL Data Warehouse which is generally available and promises to deliver the required cloud elasticity and data warehousing (DW). Normally, the built on-premises comes with expensive hardware/software and DW systems which have low utilization. In the bigger enterprises, data warehouses have become the need of the hour. The following article explores the Azure SQL DW for elasticity in a detailed manner. Learn How Azure SQL Data Warehouse Is Redefining Elasticity

Azure SQL DW

Azure SQL DWAzure SQL Data Warehouse is a properly managed Warehouse that can be provisioned in minutes and can be scaled up to sixty times larger in quick time. So now users can launch Data Warehouse, analyze and query data at scales up to hundreds of terabytes with the help of Azure portal.

It is said that Azure provides an availability of 99.9% of SLA and it is the only generally available cloud DW service that provides its users the given availability.

It uses an architecture called MPP, Massively Parallel Processing, built with the SQL Server 2016 DB engine. Users can analyze and put queries with the help of a large set of SQL based tools and several business applications. Features like high performance and better storage compression are very useful. Users can also directly query the Hadoop systems with capabilities like Polybase and can enable single SQL Based Query surface for your data.

Security and Control

Data warehouse as a service is simple, volatile, and provides better control and security. Azure SQL DW handles most of the tasks and helps in getting better analytics and values from data and requires less management and software use.

For any enterprise, malicious attacks are concerning factors and should never be overlooked. Azure SQL DW provides threat and auditing detection services to help users in avoiding serious data casualties and enterprise’s reputation. It also provides advanced machine learning features to detect unnatural queries and alerts the users of any harmful and security issue before time. There is a Transparent Data Encryption feature which protects the data at rest.


SQL DW’s multidimensional elastic technology is different from the traditional cloud services as it provides seamless storage and allows simultaneous loading and querying of data. The other common cloud services usually take a couple of hours or sometimes days to do the re-sizing of data warehouse but with Azure SQL Data Warehouse users can get instant results as each layer is independently scaled and takes no time.

SQL Integration

The best thing about Azure SQL DW is its fitting nature into the tools of SQL, with which users are already familiar with, and also brings a wide set of software partners and vendors supporting SQL Servers. It also integrates with Power BI services like Excel and Azure for better BI capabilities. In addition to that, it also provides seamless querying of Structured as well as Unstructured data.

While Microsoft has been continuously improving the array of features in its SQL Server offerings, it still has not found a way to avoid SQL crashes. Hence companies must keep an mdf recovery tool handy to avoid any incidents of data loss.

Author Introduction:

Victor Simon is a data recovery expert in DataNumen, Inc., which is the world leader in data recovery technologies, including recover mdb and sql recovery software products. For more information visit

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