Tag: infiniband

Does InfiniBand Have a Future on Hadoop?

Aug 4, 2015 |

Hadoop was created to run on cheap commodity computers connected by slow Ethernet networks. But as Hadoop clusters get bigger and organizations press the upper limits of performance, they’re finding that specialized gear, such as solid state drives and InfiniBand networks, can pay dividends. Read more…

Why Big Data Needs InfiniBand to Continue Evolving

Apr 8, 2013 |Increasingly, it’s a Big Data world we live in. Just in case you’ve been living under a rock and need proof of that, <a href="http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/" target="_blank">a major retailer can use an unimaginable number of data points to predict the pregnancy of a teenage girl outside Minneapolis before she gets a chance to tell her family</a>.  That’s just one example, but there are countless others that point to the idea that mining huge data volumes can uncover gold nuggets of actionable proportions (although sometimes they freak people out...) Read more…

DDN Casts Hadoop with HPC Hook

Mar 4, 2013 |Between the ingestion, storage, processing and distribution of large, multi-structured data volumes, there is bound to be complexity, especially when it’s happening within a Hadoop cluster. However, according to HPC storage company, Data Direct Networks (DDN), all it takes to remedy the hassles is a Hadoop appliance that... Read more…

InfiniBand to Shoulder Next Generation Big Data Burden

Feb 27, 2012 |With the increasing usage of social media websites, geographical positioning, web communication and cloud for content storage and delivery, there is a real need for scalable, higher bandwidth and faster response network fabric in a website’s data centers. As Gilad Shainer from Mellanox argues in this piece, for server and storage communications, InfiniBand offers.... Read more…

Mellanox Addresses Big Data Acceleration

Nov 8, 2011 |Mellanox Technologies announced UDA 2.0 this week, which is a network-based and software-driven approach to speeding Hadoop cluster performance. The company claims users can expect two times the performance for data-intensive applications. Read more…