Big Data Vendor Landscape

Companies, products, and technologies included in the Big Data Landscape:

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I'm very pleased to announce the formation of Data Community DC, Inc., a new organization dedicated to the support of the Data Science, Statistics, Analytics and related communities in the Washington, DC area! Formed by the organizers of the rapidly-growing Data Science DC and R Users DC Meetups, and the nascent Data Business DC Meetup, DC2 will support those groups and help to create new Meetup groups and other events and services.

If you live or work in the DC Metro area, we'd love…

WASHINGTON—Mitt Romney's success in raising hundreds of millions of dollars in the costliest presidential race ever can be traced in part to a secretive data-mining project that sifts through Americans' personal information—including their purchasing history and church attendance—to identify new and likely, wealthy donors, the Associated Press has learned.…

The Hadoop stack includes more than a dozen components, or subprojects, that are complex to deploy and manage. Installation, configuration and production deployment at scale is challenging.

The main components…

Weekly digest from Data Science Central, Analytic Talent and Analytic Bridge:

1. Why are clinical trials failing?
2. How to optimize email campaigns? Part I…

Posted on behalf of Michael Walker.

Percolator, Dremel and Pregel: Alternatives to Hadoop

Hadoop (MapReduce where code is turned into map and reduce jobs, and Hadoop runs the jobs) is great at crunching data yet inefficient for analyzing data because…

Today Analytics is the heart of a Business. Companies are challenged with a high volume and broad array of data which requires active and effective analysis. Analysis can help them make enhanced and improved business decisions, and hence help the business to maintain profitability. "Companies need to compete on the basis of key business processes, and how they optimize these processes with analytics," says Thomas Davenport, professor and director of research, Babson College, USA. Business…

As big data use cases proliferate in telecom, health care, government, Web 2.0, retail etc there is a need to create a library of big data workload patterns. . We have created a big data workload design pattern to help map out common solution constructs. There are 11 distinct workloads showcased which have common patterns across many business use cases.

1. Synchronous streaming real time event sense and respond workload
2. Ingestion of High velocity…

Interested in using your skills for a good cause, a great challenge and a $25,000 prize? How about predicting the future of ALS patients?

 Prize4Life is proud to announce the launch of a computational challenge to predict the future progression of disease in Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease. The …

Recently Yelp was hit with a class action lawsuit for defamatory and fake bad restaurant reviews. Although the lawsuit was dismissed, the plaintiffs claimed that Yelp would post bad reviews of businesses not purchasing $500/month advertising on Yelp. Much of the discussion was…

Actually, these are 7 types of language patterns that are difficult to analyse with automated algorithms:

1. "A land of milk and honey" becomes "A land of Milken Honey" (algorithm trained on Wall Street Journal from the 1980's where Michael Milken was mentioned much more than milk)…