Having never worked at Google, Yahoo, Facebook, or any other Silicon valley company widely applying MapReduce, as former Chief Scientist of several Silicon Valley start-ups, Analytics Architect of The LikeMinds Personalization Server, and former Sr. Software Engineer/Statistician at IBM, all of a sudden I'm being left behind. How about you? We are smart, superbly trained, exceedingly experienced in "big-data", power computer users, and programmers in dozens of now unfortunately passe' programmin …

We are a Bay Area user group focused on helping Datameer users share experiences, tech tips, solve big data analytic problems and solutions.  This group is for those who want to learn and advance their knowledge and use of Datameer.  Intended to be casual, this Meetup will encourage knowledge sharing and discussions set 'unconference' style.  At the beginning of the meetup, we will showcase a best practice then break out into discussion groups.  All Datameer related topics will be welcome.

Business measurement, modeling and metrics have become critical to businesses of all sizes and across all industries. In today's competitive environment, executives need to be at the top of their game when it comes to understanding their business performance. There is data everywhere about the market, competitors, customers and businesses, but getting to the core of the information, and turning that data into an advantage is challenging. This group brings together executives from multiple indust …

Discussion of nosql technologies and their use cases.

A Bay Area based Hadoop user group focused on helping Hadoop users share experiences, problems and solutions, as well as learn new skills for building large-scale Hadoop-based systems.

Hi Everyone! As you know Professor Daphne Koller (Stanford University) has been kind enough to share & teach very interesting topic - Probabilistic Graphical Model (webpage https://www.coursera.org/pgm). Being actively interested in this area, I am forming this group for the engineering students/graduates/working professionals to discuss about the topics being taught, discuss assignments, form hangout groups(google+) and ask questions.

There are demands for good mathematicians to write algorithms that can churn through billions or trillions of data points and show where patterns emerge. The Economist data issue raised this issue as follows: "During the recent financial crisis it became clear that banks and rating agencies had been relying on models which, although they required a vast amount of information to be fed in, failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and …