Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who wants an explanation of the “bias vs. variance tradeoff in statistical learning.”
With the release of Intel® Cloud Edition for Lustre software in collaboration with key cloud infrastructure providers like Amazon Web Services (AWS), commercial customers have an ideal opportunity to employ a production-ready version of Lustre—optimized for business HPDA—in a pay-as-you-go cloud environment.
This article is the fifth and last in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
ParStream, the IoT analytics platform company, has introduced an analytics platform purpose-built for the speed and scale of the Internet of Things (IoT). Enabling an entirely new breed of analytics for the enterprise, the ParStream Analytics Platform is designed to easily scale to handle the massive volumes and high velocity of IoT data.
MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, has announced that MapR-DB is now available for unlimited production use in the freely-downloadable MapR Community Edition. MapR-DB was recently recognized by an independent research firm as the highest scored NoSQL key-value database for current offering among all reviewed vendors.
Actian Corporation, delivering an end-to-end big data analytics platform running natively in Hadoop, announced that clean energy provider Slingshot Power is using the Actian Analytics Platform – Hadoop SQL Edition™ to more accurately target customer segments, optimize system performance, tailor recommendations, and predict the ideal pathway for every American home to achieve energy independence.