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Microsoft Azure SQL Data Warehouse System Properties
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|Editorial information provided by DB-Engines|
|Name||Microsoft Azure SQL Data Warehouse|
|Description||Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server|
|Primary database model||Relational DBMS|
|Secondary database models||Key-value store|
|License Commercial or Open Source||commercial|
|Cloud-based Only available as a cloud service||yes|
|Server operating systems||hosted|
|Typing predefined data types such as float or date||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||yes|
|APIs and other access methods||ADO.NET|
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL|
|Partitioning methods Methods for storing different data on different nodes||Sharding, horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|User concepts Access control||yes|
|More information provided by the system vendor|
|Microsoft Azure SQL Data Warehouse|
Azure SQL Data Warehouse is Microsoft’s SQL analytics platform, the backbone of your Enterprise Data Warehouse. The service is designed to allow customers to elastically (and independently) scale compute and storage with massively parallel processing. SQL DW integrates seamlessly with big data stores and acts as a hub to your data marts and cubes for an optimized and tailored performance of your EDW. Azure SQL DW offers guaranteed 99.9% high availability, compliance, advanced security, and tight integration to upstream and downstream services so you can build a data warehouse that fits your needs. Azure SQL DW is the first and only service enabling enterprises to replicate their data everywhere with a global availability in more than 30 regions.
Make your data go further. SQL Data Warehouse gives you a highly composable data warehouse solution to remove limits to scale and performance.
Elastic and extensible
Optimize your data warehouse performance and lower your costs by scaling compute and storage independently.
Trusted and reliable
Count on enhanced security features and industry-leading compliance. SQL Data Warehouse is General Data Protection Regulation (GDPR)-compliant.
By leveraging SQL Server, SQL Data Warehouse is compatible across Microsoft and third-party services.
|Typical application scenarios|
Data warehouse modernization: SLQ DW can be the hub of your data analytics and integrate easily with SQL Database and Azure Analysis to provide resource isolation and an unlimited amount of BI analysts.
Data analytics applications: build innovate applications that need resource isolation between your data consumers. With SQL Database Elastic Pools, you have a broad choice of price/performance that can fit your end-user
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|Microsoft Azure SQL Data Warehouse|
|DB-Engines blog posts|
Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse Microsoft Doubles Performance of Azure SQL Data Warehouse Microsoft Azure SQL Data Warehouse Gets a Speed Boost The Customer Experience Technology Stack | Data Visualisation Google Next 2018: A deeper dive on AI and machine learning ... BigQuery vs. Redshift debate centers around cost, management provided by Google News Data Analytics Solution Architect/Practice Lead Information Data Architect Manager Big Data Architect Cloud Data Architect - Azure ETL Developer
Microsoft Doubles Performance of Azure SQL Data Warehouse
Microsoft Azure SQL Data Warehouse Gets a Speed Boost
The Customer Experience Technology Stack | Data Visualisation
Google Next 2018: A deeper dive on AI and machine learning ...
BigQuery vs. Redshift debate centers around cost, management
provided by Google News
Data Analytics Solution Architect/Practice Lead
Information Data Architect
Manager Big Data Architect
Cloud Data Architect - Azure