Why NoSQL is the future of IoT

Experts predicted more wearable technology wrapped up under the Christmas tree in 2015, and they weren’t wrong. We were gifted with everything from simple fitness trackers to smart watches, glasses, jewellery, headgear, belts and e-textiles. After the “toys but no ...

Yahoo Releases record Machine Learning Dataset for Researchers

Data is the lifeblood of research in machine learning. However, access to truly large-scale datasets is a privilege that has been traditionally reserved for machine learning researchers and data scientists working at large companies – and out of reach for ...

Big Data: Managing Wild Weather and Water

By Gaalen Engen and Marc Davis A state of emergency was declared throughout Washington State in November in response to a series of savage storms that caused three deaths and hundreds of injuries. So catastrophic was the cumulative damage that the ...

6 Essential Steps to Successfully Implement Hadoop

Interest in Hadoop continues to increase as business recognize the benefits it brings to their organizations and their big data analytics practices. Recent numbers bear this out as well. According to a recent survey from TDWI, overall Hadoop adoption by enterprises ...

10 coolest big data products of 2015

The big data technology market remains one of the fastest growing segments of the IT industry. In November, market research firm IDC said the market for big data-related infrastructure, software and services will grow at a compound annual growth rate ...

Funding trends for IoT big data analytics

As the “Internet of Things” gains momentum, expecting to be fueled and enabled by big data analytics, investors and companies are seeking to expand their holdings across these areas. Kylie Wansink, senior analyst for global markets at analyst firm BuddeCom, said ...

25 Java Machine Learning Tools & Libraries

What is Machine learning? Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications o become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to ...
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