Tag: SGI
Real-Time Streaming Gone ‘Bananas’
Akuda Labs is touting the throughput and power of a real-time stream data processing system it released last week. The company says the software, dubbed Bananas, runs 10 times faster that Apache Spark Streaming, with con Read more…
Peek Inside a Hybrid Cloud for Big Genomics Data
Genomics, or the study of human genes, holds an enormous promise to improve the health of people. However, at 80GB to 250GB per sequenced genome, the sheer size of genomics data poses a considerable storage and processin Read more…
SGI Aims to Carve Space in Commodity Big Data Market
Commodity hardware has largely been the palette on which big data implementations have been painted, with Google’s early 2000s mantra of it being “fast and cheap” becoming a near cultural staple of the emerging big data trend. Recently, non-commodity, high performance computing players are seeing an opportunity to add their canvasses to the mix. In the latest example, supercomputing icon Silicon Graphics International (SGI) has released a new suite of big data tools aimed at bringing its brand of high performance computing to big data workloads. Read more…
A Gateway to Unstructured Data
The ability to access the recent explosion of unstructured data, in the forms of social media data as well as video and audio files, can be limited. SGI, with their planned release of the InfinteStorage Gateway on June 15, hopes to quicken that access, with the goal being to provide a single universal place from which to draw all sorts of media types and files. Read more…
Finding SGI’s Needle with UV Big Brain
Two intuitively simple processes, searching and comparing, require two quite different skill sets when applied to large datasets. By literally moving a haystack around, SGI CTO Eng Lim Goh demonstrated the capabilities of the company’s UV Big Brain to accomplish both tasks. Read more…
SGI Plants Big Data Seeds in HPC
Mannel and Conway talked this week about SGI and their various big data functions. Their focus 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. Read more…
SGI Spreads Strategic Wings with DataRaptor
SGI hopes DataRaptor will aid companies in building applications based on the MarkLogic operational database. The company's Bill Mannell, who was joined by IDC's Steve Conway, drew parallels between high performance systems, big data and the new breed of applications that are... Read more…
One Giant Leap for Psychohistory
SGI's UV2, which it touts as the world’s largest in-memory data mining system, is behind a recent project to "map the world according to Wiki" and reveal insights about the connections between history, society and geography. The researcher behind the project who is known for his.... Read more…
This Week’s Big Data Big Seven
We wrap up this week with news about a new high performance, data-intensive supercomputer from SGI, new Hadoop announcements, including those from Hortonworks, Datameer, and Karmasphere, some software enhancements for big data infrastructure from ScaleOut and some other startup goodness--all with an eye on next week's International.... Read more…
SGI Claims Performance Boost for Big Data
This week technical computing company SGI announced that it would be updating its HPC product lines with the newest Xeon family, stating that this is an important move for customers with data-intensive computing needs, not just those in.... Read more…
SGI Spins Ready-to-Roll Hadoop Clusters
SGI is making good on its partnership with Hadoop distribution vendor, Cloudera, by offering turnkey Hadoop clusters that take advantage of their Xeon-based Rackable and Cloud Rack servers and BI and other key integrations. Read more…
Genomics Project Taps SGI for Big Data Needs
Japan's Institute for Chemical Research has selected SGI's UV 1000 as its data-intensive computing system of choice to handle massive life sciences demands at Kyoto University for its GenomeNet project. Read more…
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