By Mike Pearce, Ph.D. HPC Developer Evangelist
Data analytics is one of the fastest growing areas in technology. Experts predict that global big data and business analytics revenue will grow by more than 50 percent over the next five years. At Intel, we know how important it is to keep up with the pace of industry and technology trends. We strive to continually innovate and improve the capabilities of our flagship Xeon processors; at the same time, through close partnerships, we team with a robust ecosystem of software providers across the world to expand platform features and optimize their applications to deliver cutting-edge business analytics services.
Below, we’ll dive into four use cases showcasing how data analytics providers use the new Xeon E7 v4 processors to handle complex analyses, make a big difference in enterprise analytics speed, and improve the bottom line.
Brunel University optimizes for Caterpillar
Caterpillar transports enormous amounts of goods every day. Brunel University research used GEMSTONE Ant Colony Optimization running on Intel Xeon E7 v4 processors to determine the most cost-effective method of getting things from point A to point B.
Brunel tested the Intel E5-2670 v2 and the Intel E7-8890 v4, and in the process, throughput time improved 3.66 times with E7 v4. Brunel has shown a sustainable processor solution that delivers distributed memory management and the option to scale as much as they need. View the GEMSTONE project details.
Software AG’s performance boost
Intel Xeon E7 v4 processors improved the performance of Software AG’s analytics platform, enabling more robust, real-time analytics for customers with their Terracotta and Apama platforms.
They tested their platform on E7-4870 and E7-8890 v4 processors, and saw 3.2X faster performance with E7 v4. In addition, the application — Terracotta BigMemory — also benefitted with memory scaling from 1TB to 6TB. This was possible due to the Xeon E7’s expanded memory footprint, which enables complex enterprise analytics with lower latency, giving Software AG improved performance and translating to competitive advantages for their customers. View the Software AG analytics upgrade.
SAS: Lightspeed business analytics
Businesses rely on SAS applications for predictive and descriptive data modeling, data mining, and analytics. All of this requires some serious horsepower, which Xeon E7 v4 provides in spades.
Comparing Xeon E7-8890 v3 to E7-8890 v4, the additional cores, threads, and larger cache in the latest generation, along with Intel SSDs, drove 26 percent faster processing for SAS. Now, SAS customers have complex analyses in record time. View the SAS workload testing results.
Actian Corporation hits terminal velocity
Actian Vector columnar RDBMS database uses vector-based processing to accelerate queries and data throughput.
When testing the E7-8890 v3 compared to E7-8890 v4 a 20 percent performance advantage. Expanded CPU core density and a larger cache accelerated vector processing queries. In addition, Actian utilized AVX2, a platform software feature, which contributed to performance growth. The end result? Reduced development time for data scientists, real-time insights for business users, and dynamic price setting for executives. View the Actian Corporation database improvements.
The Intel Xeon E7 v4 family empowers many different industries, bringing them all closer to their analytics goals. These four companies are just a few examples of what Xeon E7 can do.
View more use cases and find out how Xeon can supercharge software for business analytics. You can also continue the conversation on Twitter, at @mikeapmap and @IntelITCenter.