Sentence examples for manage massive data from inspiring English sources

Hadoop, with its ability to manage massive data sets, is about to change the game of baseball.

Past trends include text message growth, netbooks and smartphone exposure.” He continues, “Two current themes I like are connected devices (iPads, eReaders and others) and the ‘mobile data tsunami’ as we see a need to manage massive data bandwidth usage, like video and multimedia in addition to e-mail, etc.”.

In parallel, the advancement of computational resources, including increased memory capacity, storage accessibility, multinode processing, and advanced bioinformatics workflows, has enabled biologists to manage massive genomic data sets.

With the 41 new features the company announced would be rolling out this week, Google Plus is now morphing into something that makes greater use of what Google does best anticipate the needs of its users, show them relevant news and information, and help them manage massive amounts of data.

One problem with data-intensive computing facilitating is how to effectively manage massive amounts of data stored in a parallel I/O system.

But there's no doubt that more and more startups are launching to help businesses manage massive amounts of data as technologies like Apache Hadoop become more popular.

IBM plans to invest $1 billion in research  to design, create and integrate Flash into its servers, storage systems and middleware, a reflection of the changing requirements needed for companies to manage massive amounts of data.

What struck Li has being particularly unique about Code 42 (besides the technology itself) is that although the startup provides major infrastructure and helps manage massive amounts of data, the UI is lightweight and resonates with the trend of the consumerization of IT.

It is a key research issue to manage massive datasets for data-intensive computing applications.

The solution enables applications to manage massive quantities of unstructured data, and enables cloud and SaaS application developers to adopt emerging cloud hosting providers such as Digital Ocean, Packet and Hyper.sh, with Amazon S3 like capabilities.

Big data has become popular for processing, storing and managing massive volumes of data.