Select The Best SQL Server 2016 Hosting

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SQL Server 2016 simplifies analytics in the way databases simplified enterprise data management, by moving analytics close to where the data is managed instead of the other way around. It introduces a new paradigm where all joins, aggregations and machine learning are performed securely within the database itself without moving the data out, thereby enabling analytics on real-time transactions with great speed and parallelism. As a result, analytical applications can now be far simpler and need only query the database for analytic results. Updating machine learning models, deploying new models, and monitoring their performance can now be done in the database without recompiling and redeploying applications. Furthermore, the database can serve as a central server for the enterprise’s analytical models and multiple intelligent applications can leverage the same models. It is a profound simplification in how mission critical intelligent applications can be built and managed in the enterprise.

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Listed here are a number of the noteworthy new functions in SQL Server 2016:

Always Encrypted
MData security is top of mind, especially for mission critical applications, and SQL Server has been the enterprise database with the fewest security vulnerabilities six years running.* To help customers with data security and compliance when using SQL Server on-premises or in the cloud, we are introducing Always Encrypted. Always Encrypted, based on technology from icrosoft Research, protects data at rest and in motion. With Always Encrypted, SQL Server can perform operations on encrypted data and best of all, the encryption key resides with the application in the customers trusted environment. Encryption and decryption of data happens transparently inside the application which minimizes the changes that have to be made to existing applications.

Stretch Database
Today, in the Ignite keynote, we showcased how you can gain the benefits of hyper-scale cloud in the box with new hybrid scenarios including Stretch Database. As core transactional tables grow in size, you may need to archive historical data to lower cost and to maintain fast performance.

Real-time Operational Analytics & In-Memory OLTP
Building on SQL Server industry leading and proven in-memory technologies, customers will benefit from the combination of real-time operational analytics with blazing fast transactional performance – a first among enterprise vendors.

Built-in Advanced Analytics, PolyBase and Mobile BI
For deeper insights into data, SQL Server 2016 expands its scope beyond transaction processing, data warehousing and business intelligence to deliver advanced analytics as an additional workload in SQL Server with proven technology from Revolution Analytics.

SQL Server 2016 comes with several features and tools to support cross-platform analytics. Polybase allows you to run queries on external data in Hadoop or Azure blob storage. It can push computation to Hadoop where appropriate, so that your analytical application can join and integrate data from big data stores with the data in the relational store. Microsoft R Services, which is integrated with SQL Server also runs on multiple Hadoop distributions and is also integrated with Azure HDInsight + Spark, enabling both choice and standardization in developing analytics code. And finally, R Tools for Visual Studio allows the ease of use of the modern Visual Studio IDE for developing analytical code in R.

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