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Author » Nicole Hemsoth

Solid-State Drive Makers Eye Big Data Markets

Flash and other forms of solid-state memory are increasingly being leveraged as high-end storage solutions. As hard-disk drives in servers failed to keep pace with data loads, generating performance bottlenecks, solid-state drives are finding more big data applications as customers ingest billions of data points on a daily basis. Read more…

Your Refrigerator is Full…of Big Data

I do most of the grocery shopping in my house. You’d think that would mean I get to decide things like what we’re having for dinner or which brand of raisin bran we keep in the pantry, but you’d be wrong. Read more…

NumaQ Speeds Analytics with Massive Shared Memory Cluster

An in-memory big data analytics appliance dubbed NumaQ is said to allow up to 32-terabytes of data to be loaded and analyzed in memory, helping to eliminate a major bottleneck in data analytics performance. Read more…

The New Data Blending Mandate

An axiom of big data say that, as data volume and complexity grows, it becomes harder for organizations to extract meaning from the data. One solution to this dilemma that is gaining momentum is data blending, which provides a new real-time, analytics-oriented twist on the batch-oriented ETL data integration processes of old. Read more…

Go Shard Thyself, CodeFutures Says

CodeFutures has received a patent for its ability to apply the types of database sharding techniques that have become popular with the advent of NoSQL databases to standard workloads running on traditional SQL databases. Read more…

Demand for Software-Defined Storage Is Up: Survey

Software-defined storage (SDS) is helping to simplify management of disparate storage devices while enabling IT administrators to "future-proof" enterprise networks, according to annual survey of the SDS market. Read more…

As CIOs Embrace Big Data, Cloud Will Soar

The corporate embrace of cloud computing is one of the key drivers of big data analytics, boosting revenues over the last several years for leading cloud service providers. Read more…

Crossing the Big Data Stream with DataTorrent

Enterprises eager for a competitive edge are turning to in-memory stream processing technologies to help them analyze big data in real time. The Apache Spark and Storm projects have gained lots of momentum in this area, as have some analytic NoSQL databases and in-memory data grids. Another streaming technology worth keeping an eye on is DataTorrent. Read more…

Startup Says ‘What If’ to Genetic Data Analytics

The surge in popularity of genetic testing is creating a tidal wave of data that people are eager to use to improve their health. But as we saw with 23andMe, there is a concern that raw genetic information can be dangerous in the wrong hands. Today BaseHealth emerged from stealth mode with an innovative approach to this problem that blends data from genetic testing, scientific research, and a patient's own medical history, all under the supervision of a doctor. Read more…

Hortonworks Keen on Cascading-Tez Combo

In the future, it will be easier to build big data applications, and they'll run faster and utilize more real-time data than today's apps, too. Two vendors working to make that future a reality, Hortonworks and Concurrent, today announced they'll work together to build and assemble the next generation of Hadoop apps running on YARN, Tez, and Apache Spark. Read more…

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