Why In-Memory Computing is Vital for Real-Time Analytics

In addition to providing incredibly fast query response times, in-memory analytics can reduce the need for data indexing and storing pre-aggregated data in online analytical processing cubes

In-memory analytics is an approach to analyze an entire data set that resides in a computer’s main memory and not on physical disks. This results in vastly shortened query response times, allowing business intelligence (BI) and analytic applications to support faster business decisions.

BI and analytic applications have long supported caching data in main memory, and systems with many terabytes (TB) of addressable memory have made it possible to cache large volumes of data, such as an entire data warehouse or data mart in a computer’s main memory.

In addition to providing incredibly fast query response times, in-memory analytics can reduce or eliminate the need for data indexing and storing pre-aggregated data in online analytical processing (OLAP) cubes or aggregate tables. It is anticipated that as BI and analytic applications embrace in-memory analytics, traditional data warehouses may eventually be used for less frequent queries.

The ability to store and analyze huge amounts of diverse types of data promises ongoing opportunities for businesses, academic institutions and government agencies.

The Intel Xeon processor E7 v2 family launched recently offers added performance, along with the scalability to handle any workload. The Intel processor also features triple the memory capacity of previous versions and quadruple the I/O.  Let’s take a look at the in-memory capabilities of Intel v2 family.

Memory Support: New memory capabilities support more transaction-intensive in-memory analytics with up to 6 terabytes in a four-socket platform and 12 TB in an eight-socket platform. This means a complex analysis that might have taken a business 8 hours to complete can be conquered in as little as 3 minutes – a 148x improvement.

Performance: The v2 family contains up to 15 cores built for two-, four- and eight-socket natively connected servers. With up to twice the average performance over its previous generation, and up to 50 percent more cores/threads and 25 percent more cache, processing times are faster when running mission-critical analytics applications.

System Uptime: Intel Run Sure Technology is designed for “five nines” solutions essential for business-critical data by reducing frequency and cost of planned and unplanned downtime.

Data Integrity: The new features include Intel Data Protection Technology with Secure Key and Intel Platform Protection Technology with OS Guard for faster and more secure encryption, and improved protection against malware.  

 

 

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