Episode 33 – Roaring News

This episode, we have an absolutely brilliant topic that we were going to cover after the news section… But the news section has us talking so much that it ran a bit long. Preferring not to give you a two hour episode, we’re rescheduling the delivery of the intended topic to next episode and present you with our first (and probably last) “News only” episode.

• • Dave
    • A pair of “trends to watch in 2017”
      • http://www.techrepublic.com/article/6-big-data-trends-to-watch-in-2017/
      • http://www.datamation.com/applications/5-big-data-predictions-for-2017.html
    • Learning from a Year of Security Breaches
      • https://medium.com/starting-up-security/learning-from-a-year-of-security-breaches-ed036ea05d9b#.4r22rbfjh
    • Failing to monetise your apps, big data can help 
      • http://www.techrepublic.com/article/failing-to-monetize-your-apps-big-data-can-help/
    • A Perfect Illustration of the Big Data Value Chain
      • http://www.techrepublic.com/article/a-perfect-illustration-of-how-the-big-data-value-chain-works/
• • Jhon
    • 24/7 Spark Streaming on YARN in Production
      • https://www.inovex.de/blog/247-spark-streaming-on-yarn-in-production/
    • SparkSQL, Ranger,and LLAP via Spark thrift server for BI scenarios to provide row, column level security, and masking
      • http://hortonworks.com/blog/sparksql-ranger-llap-via-spark-thrift-server-bi-scenarios-provide-row-column-level-security-masking/
    • The Data Dichotomy: Rethinking the Way We Treat Data and Services
      • https://www.confluent.io/blog/data-dichotomy-rethinking-the-way-we-treat-data-and-services/