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Slidecast: Introducing StorNext5 Appliances

“For customers who need to retain and access hundreds of terabytes of unstructured data, Quantum Lattus Object Storage is a self-healing, self-protecting private cloud solution that enables more efficient primary storage usage, delivers extreme archive data resiliency and protection, and offers low latency disk access to archive data. Compared to RAID or tape storage, Lattus Object Storage provides the most effective solution on a cost/performance basis for active access, retention and protection of unstructured data in large archive environments.”

Demo: DataRPM Natural Language Analytics

“DataRPM is a revolutionary business intelligence and data analytics solution that provides a natural language question answering and search interface to analyze and visualize any data residing anywhere in corporate databases, big data systems, files, applications, 3rd party systems, data warehouses and even other business intelligence tools. Available on the cloud, on premises and embeddable in SaaS/ISV applications.”

Slidecast: Introducing GridBank 4.0 from Tarmin

“With data growing exponentially, one of the greatest data management challenges is end-to-end protection, governance, discovery and access, no matter the file type, device or social origination.” said Steve Duplessie, founder and senior analyst, Enterprise Strategy Group. “Tarmin’s latest release of GridBank is tailored to meet all the needs of organizations facing massive growth with unstructured data.”

H20: An Open Source, In-memory Machine Learning App for Big Data

“We developed H2O to unlock the predictive power of big data through better algorithms,” said SriSatish Ambati, CEO and co-founder of 0xdata. “H2O is simple, extensible and easy to use and deploy from R, Excel and Hadoop.”

Slidecast: Maxta VM-centric Storage

“After being told repeatedly that expensive storage arrays are the only way to support enterprise applications in virtualized environments, IT organizations finally have an alternative to storage arrays that significantly reduces complexity and cost. Maxta has broken the code for integrating storage and compute into a converged virtual data center.”

Slidecast: Birst Recurring Revenue Solution Accelerator

Southard Jones from Birst describes the company’s new Recurring Revenue Solution Accelerator, which gives subscription-based businesses the ability to maximize revenue, accelerate growth and reduce churn by putting fast, accurate and meaningful business intelligence and data analysis capabilities at their fingertips.

Slidecast: ClearStory – The Next Era of Data Analysis

In this slidecast, the RichReport looks into ClearStory Data, an integrated Application & Platform speeding analysis across internal & external data.

Podcast: Big Data Powers the Future of Sports at the Prediction Machine

Over at The Register, Dan Olds writes that Big Data is powering amazing fortune-telling capabilities for sports at the Prediction Machine. “My pal Rich Brueckner and I had a chance to interview founder Paul Bessire as part of our Radio Free HPC podcast a few weeks ago. In the programme, Paul discusses the genesis of the Predictalator and how he turned his master’s degree in quantitative analysis into a full-time business. Along the way, we talk about what’s involved in analysing sports and how they arrived at their winning formula. It’s interesting listening for anyone who has ever been curious about applying scientific methodology to sports.

With Continuuity 2.0, Java Developers can easily Build Hadoop and HBase Apps

With Continuuity Reactor 2.0, Java Developers can easily Build Hadoop and HBase Apps. The Big Data App server now includes new production-ready features including MapReduce Scheduling, High Availability, Resource Isolation and full REST API support.

Slidecast: SGI to Speed High Performance Analysis with Big Data Innovations

Drawing on extensive expertise and experience in HPC and managing high volume storage, SGI is introducing new solutions to perform Big Data analytics faster. Now the enterprise can achieve extreme capacity and scale needed for Big Data storage, and manage storage investments more cost effectively.