Real-Time Analytics

By: Oracle
Oracle

With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions.

With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors, companies can now store data in memory in both row and data formats, and run analytics on their operational databases providing faster and more accurate analysis than possible on comparative x86 alternatives.  The Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service allowing IT organizations that move to the Cloud the same benefits. Moving to the Oracle Public Cloud does not compromise the benefits of the SPARC solution.

PROBLEM

  • NO mention of the cloud
  • No mention of x86 Comparison

Tags : 


* Please enter your email address and click the Download Now button to download the white paper.

 Email this page
Published:  Aug 18, 2016
Length:  2
Type:  White Paper