Weekly Big Data Catch-Up


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Big Data News, Events, and Expert Opinion


How to Become a Data Scientist

Part of the field of predictive analytics has recently been thrust into the spotlight under a new name: Big Data. As specialist recruiters in this fast developing sector, we often fulfil an educational role with our clients – helping them define role requirements and understanding what sort of candidate would fit their business. However, we always come up against the same problem. There aren’t many quality Data Scientists out there who are available… For those in related sectors who are interested in a change, I will be writing two initial blogs to give you some more insight into this fascinating industry. This blog will focus on the four different types of Data Scientist – as defined in the fascinating “Analysing The Analysers” report, and the next one will explore typical...
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Modern Business Intelligence Means Intelligence Inside Everything

Brian Gentile is Sr. Vice President & General Manager of the TIBCO Analytics Product Group within TIBCO Software. Formerly, he was Chairman and Chief Executive Officer of Jaspersoft, which was acquired by TIBCO in April 2014.  Today’s businesses are overrun with data. Yet without the right information, data provides no true business value. Whilst legacy business intelligence (BI) products were created to extract usable intelligence out of mass amounts of data, those BI systems have not kept pace with the modern data centre.  Traditional BI reporting and analytics tools are stand-alone, costly and complex.  However, today’s big data flows through the cloud as well as the network and is largely unstructured.  Data comes in at the speed of the Internet – a speed that is much too fast for old...
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Mapping the Future of Mankind Using Historical Datasets

(Conflict (red) and cooperation (green) in Nigeria Jan-March 2014; source) For centuries, society has been captivated by the idea of the eternal return. From Indian philosophy and ancient Egyptian thought, from Pythagoras through to Nietzsche, the idea that history is cyclical and events will recur again and again infinitely has always captured the human imagination. This idea was most recently put to the test by the team behind the Global Database of Events, Language and Tones (GDELT), a quarter-billion record database of events in human history. They wanted to see if they could find correlations between current world events and historical events, to see if they could map the outcomes of current political unrests. Their experiment was likened to Asimov’s Pyschohistory, in which history, sociology, and mathematical statistics are combined...
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Adelaide Set to Become Smart City with Launch of Innovation Hub

In a landmark move for Australia’s fifth largest city, Adelaide City Council and Cisco will be working in alliance to create Australia’s first Internet of Things Innovation Hub. “Our recent collaboration with the State Government and local internet provider Internode that now brings free WiFi across the city is a great indication of what can be done through partnering with key information and technology groups,” said the Lord Mayor Stephen Yarwood said at the launch of a new Internet of Things Innovation Hub in Adelaide. “The MoU between Council, our State Government and Cisco is the next logical step in Adelaide’s continuing journey toward an integrated Internet of Things.” “This Innovation Hub will allow creative brainstorming and technological know-how to thrive,” added Science and Information Economy Minister Gail Gago. “It...
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MapR Performance Benchmark Exceeds 100 Million Data Points Per Second Ingest

Enterprise Hadoop vendors MapR just demonstrated that their data platform is capable of ingesting over 100 million data points a second. These impressive performance results were unveiled at the sold-out Tableau Conference in Washington, using OpenTSDB on the MapR Distribution including the in-Hadoop NoSQL database, MapR-DB. Using only four nodes of a 10-node cluster, the MapR team accelerated OpenTSDB performance by 1,000 times. In the coming years, data processing at these speeds will become increasingly necessary. The growing interest in real-time analytics and the explosion of Internet of Things applications means data processing often needs to happen at breakneck speeds. In an interview with Dataconomy about Hadoop’s role in the Internet of Things, MapR’s Chief Marketing Officer explained: “What’s required is a platform that can scale very quickly. We’re not just...
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Researchers in China Develop 99.8% Accurate Face Recognition System as Substitute to Online Payment Method

The Chinese Academy of Sciences (CAS) is developing a new a facial recognition payment system that will allow users to authorize online transactions with their faces. The system will be released by 2015 to both individual customers and retailers. Zhou Xi, the director of the CAS Chongqing Green Technology Research Institute, explains that researchers have developed an information gathering algorithm that collects facial data from 91 different angles. The system scored an all time high accuracy of 99.8 percent, as per the Carnegie Mellon international industry standard. The previous record was 97.6 percent. Researchers at the Chongqing Institute of Green and Intelligent Technology in southwest China have built arguably the world’s biggest Asian face database with more than 50 million records in partnership with the University of Illinois, and the...
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The Future of Machine Learning, According to Cloudera’s Sean Owen

In the first part of our interview with Sean Owen, Cloudera‘s Director of Data Science, we discussed the relationship between machine learning and Hadoop, the future of Apache Mahout and why machine learning has become such hot property. In this part of our discussion, we delved into the future of deep learning and neural networks, and how Owen foresees the relationship between machine learning and enterprise evolving. What do you think are some of the main trends in machine learning right now? To be honest, I think machine learning is still an advanced topic for enterprises. The infrastrcutres of most enterprises are built around reporting and retroactive analytics, and predictive analytics is still considered difficult and expensive. There is some truth to this, but at least we’re finding tools and...
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