Setting up backup to Azure You can also turn on encryption and compression for these backups, which saves you money on the third-party tools you'd have needed before. That means no more worrying about changing tapes or getting backups offsite; you just pay for Azure storage and you'll always have multiple backups.
Managed backup includes encryption, with a choice of four encryption levels As automatic backup wasn't in earlier versions of SQL Server, Microsoft has produced a free tool that will monitor your network and automatically copy backup files to Azure for you, so you can have a single cloud backup for all your databases even if you don't upgrade them.
Enable managed backup and you'll always have an offsite backup on Azure, encrypted and stored for up to 30 days You can move tables you use infrequently to Azure as well as an archive, or keep database replicas there for disaster recovery and that's all integrated into SQL Server ; for always-on replicas there's a wizard that sets up all the steps for you. That gives you options for getting all your data into the cloud and Microsoft remains committed to matching and sometimes undercutting Amazon prices, so this is a cheap way of getting secure backup.
You'll still want a beefy server setup to run SQL Server, especially if you're adding SSD and more memory to get performance improvements and it's unlikely that your network connection will be fast enough to let you work live against data on Azure though.
This utility collects backups from earlier versions of SQL Server and copies them to Azure Some new server-level permissions give you more security options. Not only can you let a specific login connect to any database you already have and any new databases you create, you can choose whether you allow one login to impersonate another. Because this applies to the server, you can create the security policy you want and have it automatically apply to all new databases.
It's also good to see support for the ReFS file system introduced in Windows Server ; now you can take advantage of the improvements over NTFS for resiliency on your database server as well. Performance But the heart of what's new in SQL Server are the ways it offers dramatically faster database performance. SQL Server already lets you speed up data warehouse applications by converting key sections to columnstore indexes that put each column in its own set of disk pages, so when you only need to retrieve information from a few columns you don't have to load the whole table to get them; it uses less CPU and is anything up to a hundred times faster, but before you had to remove and recreate the indexed columnstore whenever the data changed.
In SQL Server they can now be updated instead of needing to be recreated every time something changes, which means you get all the speed without the inconvenience. Converting to indexed columnstore compresses tables significantly and makes data warehouse processing far faster It also has a second, brand new database engine for in-memory data processing that can speed up transactions.
This engine, which Microsoft refers to as Hekaton, is just part of SQL Server so you don't pay extra for it or install it separately and you don't even need to code databases differently. Take a database app you already have and tell SQL Server to analyse it for in-memory use and the Memory Optimisation Analyser will find the tables and stored procedures that will run faster with the new engine, then do the table conversion for you in a matter of minutes you have to migrate stored procedures yourself in this version.
SQL Server can't migrate stored procedures to in memory automatically but it can tell you which you are worth moving Unlike just about every other in-memory database system, you don't have to put all the tables in memory, so you can improve performance without needing to have enough physical memory for an entire database.
There are some things that you can't put in memory including cursors, sub-queries, common table expressions, triggers, constraints, foreign keys and sparse columns. It's worth trying to recode your database app to avoid those for the performance gains. As a result, Kaplan has reduced its datacenter footprint and improved user experience by leveraging multiple AWS regions to deliver content faster to its customers around the world.
The company's customers depend on it to be fast and reliable, which became challenging with their prior solution. By leveraging AWS, the company is able to achieve the scalability to expand to new markets and business segments.
When the organization needed to boost the performance of its BI platform, it looked to AWS because of its pace of innovation, big data services portfolio, and security features — especially the ISO certification which IATA required for its highly confidential information.
An entry-level database product that enables small database applications. The maximum size of a database supported is 10 GB. A mid-level database product that is restricted to Web facing applications, and available at a low cost over the base Windows Server instance price on EC2.
This product offers PB database size, easy manageability, and is suitable for small- to large-scale Web applications. A higher end database product that allows unrestricted use for building enterprise-scale applications with Windows and. NET, and massively scalable websites. Standard includes support for Mirroring, and is suitable for applications with High Availability needs. Enterprise Edition , , , , and
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