Language Flags

Translation Disclaimer

HPCwire Enterprise Tech HPCwire Japan

January 31, 2013

SGI Plants Big Data Seeds in HPC

Three months ago, SGI announced the development of DataRaptor, its big data system powered by the MarkLogic database. The system was introduced and explained by Steve Conway, HPC Research Vice President of IDC, and Bill Mannel, SGI’s VP of Product Marketing, in a talk recently summarized here.

Mannel and Conway talked again this week about SGI and their various big data functions. Their focus here was specifically data-intensive high performance computing, otherwise known as high performance data analytics (HPDA). The talk touched on both the rise of big data within HPC and how SGI has molded to that.

According to Conway, HPDA is less about asking a general question to find a specific answer, or finding a ‘needle in a haystack,’ and more about generating new questions that have not yet been asked whose answers may not exist in the metaphorical haystack.

This difference can be well-illustrated in the healthcare industry. Professionals may one day input patient symptoms into a system powered by an expansive database to help determine the proper procedure. That answer likely already exists in the database such that the system only has to relay that information instead of generating new data.

On the other hand, according to Conway, the government runs five major healthcare programs and loses billions of dollars in fraud from those institutions each year. An HPDA system must find the correlations among the data in its vast databases and generate new queries to investigate and capture creative fraud methods.

Fraud detection is mentioned in almost every lengthy discussion hosted about big data and as such may be somewhat of a tried subject.  However, a system that could recover even a quarter of the funds lost by healthcare would be lucrative, as current studies estimate that less than a billion per year is actually caught.

Therefore, as noted by the table below, growth in data-intensive high performance computing and its place in the general HPC market has steadily grown over the last few years and is projected to continue to do so.

According to Mannel, SGI fits nicely with that growth, as their portion of revenue from big data hovers between 8 and 10 percent, a higher percentage than IBM, Dell, or HP. However, statistics like this without context can be a tad misleading, as only a percentage of revenue and not total revenue is discussed. The intent here is to show SGI’s increasing focus on the big data marketplace. An outline of SGI’s view of the big data world is illustrated below.

The figure above is a busy one, encompassing several data sources from social media to reconnaissance and research. As shown, their “UV Big Brain” gathers fast data from those sources and transmits it to ‘end nodes,’ where the DataRaptor system would help users make those free-form connections mentioned earlier.

The opportunities in high-performance big data are there, especially with regard to lingering fraud detection problems. Whether SGI’s vision for conquering those opportunities proves fruitful will be something to watch over the coming months and years.

Related Articles

SGI Spreads Strategic Wings with DataRaptor

One Giant Leap for Psychohistory

CTO Sees Virtualized Big Data as Next Challenge

Share Options


» Subscribe to our weekly e-newsletter


There are 0 discussion items posted.


Most Read Features

Most Read News

Most Read This Just In

Sponsored Whitepapers

Planning Your Dashboard Project

02/01/2014 | iDashboards

Achieve your dashboard initiative goals by paving a path for success. A strategic plan helps you focus on the right key performance indicators and ensures your dashboards are effective. Learn how your organization can excel by planning out your dashboard project with our proven step-by-step process. This informational whitepaper will outline the benefits of well-thought dashboards, simplify the dashboard planning process, help avoid implementation challenges, and assist in a establishing a post deployment strategy.

Download this Whitepaper...

Slicing the Big Data Analytics Stack

11/26/2013 | HP, Mellanox, Revolution Analytics, SAS, Teradata

This special report provides an in-depth view into a series of technical tools and capabilities that are powering the next generation of big data analytics. Used properly, these tools provide increased insight, the possibility for new discoveries, and the ability to make quantitative decisions based on actual operational intelligence.

Download this Whitepaper...

View the White Paper Library

Sponsored Multimedia

Webinar: Powering Research with Knowledge Discovery & Data Mining (KDD)

Watch this webinar and learn how to develop “future-proof” advanced computing/storage technology solutions to easily manage large, shared compute resources and very large volumes of data. Focus on the research and the application results, not system and data management.

View Multimedia

Video: Using Eureqa to Uncover Mathematical Patterns Hidden in Your Data

Eureqa is like having an army of scientists working to unravel the fundamental equations hidden deep within your data. Eureqa’s algorithms identify what’s important and what’s not, enabling you to model, predict, and optimize what you care about like never before. Watch the video and learn how Eureqa can help you discover the hidden equations in your data.

View Multimedia

More Multimedia


Job Bank

Datanami Conferences Ad

Featured Events

May 5-11, 2014
Big Data Week Atlanta
Atlanta, GA
United States

May 29-30, 2014
St. Louis, MO
United States

June 10-12, 2014
Big Data Expo
New York, NY
United States

June 18-18, 2014
Women in Advanced Computing Summit (WiAC ’14)
Philadelphia, PA
United States

June 22-26, 2014

» View/Search Events

» Post an Event