BlueData's Tom Phelan wrote an interesting post on prioritizing big data workloads using Docker that I think you'll find useful.
It's the rollout everyone almost missed because Microsoft was very quiet about it. Here are the details, such as they are.
SYSTAP announced two new products with graphics processing units acceleration to accelerate graph queries and create sophisticated algorithms for graph and machine learning applications. Both will be SaaS products available next year.
Wearables have already made significant headway in both the consumer and healthcare markets, but according to a recent IDTechEx report, new made-for-wearables sensors are about to explode on the market. Watch out! Here comes smart everything. Say goodbye to big data and hello to extreme data.
It's well known that data from the IoT will heavily impact a broad swath of companies. What few realize is that some sectors of the IoT, such as connected cars, are not single categories of data spew. Within those categories are sub-entities spewing data too. Now multiply that by 420 million estimated connected vehicles by 2020, according to IDATE DigiWorld, and you begin to get an inkling of just how large that incoming data deluge is.
SAP on Tuesday released its self-service Agile Data Preparation and improved Master Data Governance products. But there's more enhancements afoot in SAP products too.
In case you missed DJ Patil's speech at Strata earlier this year, here's a YouTube video of it, complete with remarks from President Obama. Patil, in case you didn't already know, is the...
A new collaboration between Comtrade, a provider of IT infrastructure management and monitoring products, and the European Organization for Nuclear Research – or CERN – plans to improve global access to more than 140 petabytes of data for thousands of researchers conducting experiments on the Large Hadron Collider.
Splice Machine announced Tuesday that the 2.0 version of its relational database management system – a hybrid in-memory RDBMS using the scalability of Hadoop coupled with the in-memory processing of Spark – is now available in public beta. The company is currently looking for testers.
According to a new survey, mainframes are still in heavy use and are poised to become the big muscle in big data too.