This fifth article is an editorial series that explores Lustre solutions in the cloud for an exploding commercial data universe. This week’s looks at Lustre scalability, affordability and manageability.
Mining Big Data can be an incredibly frustrating experience due to its inherent complexity and a lack of tools.
Sumo Logic, the next generation machine data intelligence company, has announced availability of Transaction Analytics as a component of the Sumo Logic analytics platform to deliver deep visibility into causal relationships across distributed IT systems in order to better inform business decisions.
This article is the fifth and last in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.
From the SciPy2013 conference, here is a compelling talk “Data Agnosticism: Feature Engineering Without Domain Expertise” by Nicholas Kridler of Accretive Health in Chicago.
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.
In the presentation below, Hadoop luminary Doug Cutting gives us some of his perspectives on the big data industry as well as a high-level overview of the Hadoop technology stack.