In this video from GTC 2014, Todd Mostak from MapD demonstrates the company’s GPU-powered in-memory relational database software for Big Data. The Cambridge, Mass., based startup has built a high-speed GPU in-memory database that brings interactivity to big data. It can, for example, track more than a billion tweets worldwide at a time – and provide real-time visual analysis of the data. MapD was also announced as the winner of the GPU Technology Conference’s Early Stage Challenge this year, and they will be coming home with a cool $100,000 check.
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.
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.”
An integral tool found in data science is Time Series Forecasting. Here is a useful instructional video on the subject from one of the authors of a free eBook available on OTexts – “Forecasting: Principles and Practice.” The presentation “Forecasting Time Series Using R” is made by Professor of Statistics Rob J Hyndman.
“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.”
I’ve been monitoring an interesting discussion on the Big Data and Analytics group over on LinkedIn – “Is there a difference between big data and small data?” It is an interesting question, one that I’ve heard before during my travels down in the trenches as I explore our industry.
“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.”