In-memory processing: Difference between revisions

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== Disadvantages of In-memory BI ==
In any typical BI solution a large number of users need to have access to data. With increase in number of users and data volumes the amount of RAM needed also increases which in turn affects the hardware costs. Many users and software vendors have integrated flash memory into their systems to allow systems to scale to larger datasets more economically. Oracle has been integrating flash memory into the [[Oracle Exadata]] products for increased performance. [[Microsoft SQL Server]] 2012 BI/Data Warehousing software has been coupled with [[Violin Memory]] flash memory arrays to enable in-memory processing of datasets greater than 20TB.<ref>{{cite web|title=SQL Server 2012 with Violin Memory|url=http://download.microsoft.com/download/6/9/C/69CFB214-0699-4448-8F32-CFE03A0706A6/SQL_Server_2012_Fast_Track_Data_Warehouse_for_Violin_Memory_Datasheet.pdf|publisher=Microsoft}}]</ref>
 
== Who is it for? ==