![sql server 2012 enterprise edition features sql server 2012 enterprise edition features](https://content.spiceworksstatic.com/service.community/p/post_images/0000313876/5b2a5b36/attached_image/Uninstall_SQL_Server_2016.jpg)
XTIVIA can help you write, troubleshoot and implement PowerShell scripts. Using PowerShell allows automation of many tasks that would previously have required user interaction with the servers. PowerShell gives companies a rich scripting language that has capabilities built on.
#Sql server 2012 enterprise edition features code
This will enhance testing ability for performance, as well as providing a “real” test for determining quality of code changes. XTIVIA can help you set up and use Distributed Replay in SQL Server 2012.ĭistributed Replay is a powerful tool that allows us to capture a workload from a production server and replay that on another SQL Server. It is particularly helpful in assessing the impact of hardware changes, performance tuning and configuration changes.
![sql server 2012 enterprise edition features sql server 2012 enterprise edition features](https://www.dirceuresende.com/wp-content/uploads/2017/04/Power-your-entire-data-estate.png)
Distributed Replay allows us to collect a workload from a production server and the “replay” that workload on a test system. Distributed Replayĭistributed Replay helps companies test changes or a real workload without impacting your production servers. The ability to submit a MapReduce or Hive request through SQL Server Integration Services substantially improves the ability to take advantage of a NoSQL database. SQL server Hadoop connectors allow the import of unstructured data from Hadoop into SQL Server tables where it can be integrated with data warehouse and BI solutions. XTIVIA can help you import and export data with an existing Hadoop cluster. This allows the strong data analysis tools included in SQL Server 2012 to be used to analyze and report on unstructured Hadoop data. Hadoop integration allows organizations to move data back and forth from Hadoop to SQL Server.