Your daily digest of “All Things Big Data” gathered, collected and researched by your very own 10Fold Big Data Practice team.
Businesses that use software to collect data are vulnerable to cyber risks. According to a new report by the European Network and Information Security Agency (ENISA), companies are urged to follow the ‘security-by-default principle.’ ENISA warned that the potential for data to be breached, leaked, or degraded is a result of the replication of big data storage, and frequency of outsourcing big data. Companies can avoid these by implementing big data tools, such as the use of cryptography, access controls, or pseudonymisation techniques.
EU Agency warns of cyber risk from using big data tools – The Register
The U.S. Insurance Industry is currently the largest insurance market, employing 2.5 million people. The industry is expected to experience rapid change with the addition of the Internet of Things. In an interview from Forbes contributor Robert Reiss with Vik Renjen of SVP Sutherland Global Services, Renjen says he sees the industry transforming in a couple ways – with geospacial applications, environmental sensors, connected biometrics, diagnostics, and lastly, with carrier process transformation. These new opportunities for finer product segmentation will help improve loss control and accelerate premium growth.
MapR is expanding its free training on Hadoop and Spark since the advanced analytics market is growing very quickly. MapR is considered one of the three biggest Apache Hadoop distribution companies. Many developers, administrators, and data analysts will benefit from the skills offered by MapR’s free on-demand Hadoop training, including hands-on labs, exercises and quizzes. Additionally, students can complete certification exams that lead to Hadoop and HBase professional designations.
We’re used to hearing about the IoT… but have you heard of the Internet of Emotions? Companies largely rely on personalization methods, including pop-up ads, to provide value for customers. But in the near future, with devices equipped with facial, vocal, and biometric sensors that will be able to analyze and influence our feelings, personalization will be influenced by this “Internet of Emotions, With the combination of the IoT and “IoE”, humans could be forced to become more emotionally aware, as machines are already doing the same.