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Interview: Nexenta Seeks to Do Away with MESS

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“Software defined storage is a fundamental component of software defined data centers – the next step in the evolution of virtualization and cloud computing. In its simplest form, Software Defined Storage is about leveraging software only solutions to address storage challenges, from vendor lock-in, cost, performance, security, scale and manageability. A complete SDS portfolio enables customers to both optimize existing infrastructure and fully replace legacy configurations with industry standard hardware powered by software.”

Interview: Meyar Sheik of Certona

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Always on the look-out for new offerings in the customer profiling and personalization space, I was able to catch up with Meyar Sheik, CEO and co-founder of Certona to talk about his company. Meyar has been a web analytics pioneer since 2000 and founded Certona with a team of predictive analytics experts to improve real-time behavioral targeting and personalization.

Intel Ditches Hadoop Distribution, Partners with Cloudera

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Intel Corporation and Cloudera today announced a broad strategic technology and business collaboration, as well as a significant equity investment from Intel making it Cloudera’s largest strategic shareholder and a member of its board of directors. This is Intel’s single largest data center technology investment in its history.

Video: Sqream Technologies Powers Big Data Insight with GPUs

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In this video from the GPU Technology Conference 2014, Ami Gal from Sqream Technologies describes the company’s innovative Big Data processing technology. “Can you compare the technology of today with the technology of tomorrow? Yes, with SQream Technologies you can. This is because SQream Technologies uses GPUs to capture, store and process Big Data within seconds, resulting in 100x faster insights. Big Data analytics, once considered unattainable, can now be achieved in a matter of seconds with SQream’s hassle-free, robust analytic database.”

Slidecast: SATS – Big Data in 24×7 Mode

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“Cerberus is an intelligent database, server and website monitoring, management, capacity planning and reporting system that increases its ability to prevent problems from happening by learning your system over time. CERBERUS optimizes performance and maximizes up-time by delivering secure, proactive monitoring; and by assisting with administration of databases, servers, applications, and websites. It provides one point of control for heterogeneous environments, and creates a common point of reference for IT and business functions teams.”

Interview: Adaptive Computing Brings Big Workflow to the Data Center

Jill King

“Our thought process was that Big Data + a better Workflow = Big Workflow. We coined it as an industry term to denote a faster, more accurate and more cost-effective big data analysis process. It is not a product or trademarked name of Adaptive’s, and we hope it becomes a common term in the industry that is synonymous with a more efficient big data analysis process.”

The Zen of Visual Analysis

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“Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. You can connect to data in a few clicks, then visualize and create interactive dashboards with a few more. We’ve done years of research to build a system that supports people’s natural ability to think visually. Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.”

Visualization of the Week: March Madness Analytics

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Here is a great interactive visualization app that combines data analytics with March Madness – a match-up guide for the 2014 NCAA Basketball Tournament. Jay Lewis of 64 to 1 developed a Tableau app that lets us quickly compare each of the 68 NCAA tournament teams head to head.

Interview: Wise.io Sees Machine Learning Throughout the Entire Customer Lifecycle

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“Our main differentiator from other machine-learning companies is that we’re focused not just on high-performance algorithms, but on delivering an end-to-end application for business users. While we continue to push boundaries of cutting-edge machine learning technology, we made an early decision not to get sucked into the “algorithms arms race.” We hold a fundamental belief that the best analytics technologies will fail unless they can be implemented in a timeframe relevant to the business and interpreted by the ultimate decision makers.”

Interview: Real-Time Infrastructure for Finance from Lucera

Jacob Loveless

“This industry has been racing for latency, and no one has really won except hardware vendors. It’s been three years of pain and probably more to come for many. Now, the industry needs technology to be safer, more reliable, and more focused on performance. Lucera is acutely focused on each of these, while finally adding democratization to the world of infrastructure. We allow firms to focus on what really matters – what adds value to their business – while we uncover their operational alpha and decrease latency across the board.”