“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”
In this slidecast, Kevin Murray from IBM introduces the company’s new X6 line of servers. Able to accommodate solid-state Flash drives in their DIMM memory slots, the new systems are designed to deliver significant improvements in the performance and economics of x86-based systems for analytics and the cloud.
“Predictive lead targeting enables you to tap into the social conversations going on among individuals within your targeted companies, including job listings, news and more,” said Leadspace co-founder and VP Products Amnon Mishor. “Based on your Ideal Customer Profile, our automated scoring algorithm identifies the specific organizations that are likely the most open to hearing about your solution, thereby significantly increasing conversions.”
“IBM appears to be seeing about the same results as other companies pushing big data technology, such as Hadoop. There’s some money coming in, but it’s not yet a billion-dollar business. There’s potential for really big deals, but it probably means slogging through long proofs of concept and deployment cycles.”
The “How Machine Learning Works” lecture series continues by building on fundamental definitions of statistics. This is needed for any rigorous analysis of models or machine learning algorithms.
“With this release, C++ developers now can easily integrate ScaleOut’s IMDG into their applications to provide scalable performance, as well as parallel query and integrated real-time analytics for applications written in C++,” said Bill Bain, ScaleOut’s CEO. “The added capabilities in Version 5.1 also introduce significant enhancements to ScaleOut StateServer’s features and performance and broaden its availability in the cloud.”
BloomReach engineer Srinath Sridhar walks through probability, Bayesian models and machine learning in this 5 part video series.
Big Data is significantly more than just a transitional buzzword, it is the next big technological paradigm shift, similar in scale to social media and the web itself. In the spirit of big data news, here’s a funky video with examples from law enforcement, social media and Netflix to explain the importance of big data.
In the video below, Field Cady of Think Big Analytics presents a compelling introduction to using the Python programming language for data science applications.