How to secure Apache Spark?
Security has been a large and growing aspect of distributed systems, specifically in the big data ecosystem, but it's an underappreciated topic within the Spark framework itself. Neelesh Srinivas Salian explains how detailed knowledge of setting up security and an awareness of what to be looking out for in terms of problems and issues can help an organization move forward in the right way.
| Talk Title | How to secure Apache Spark? |
| Speakers | Neelesh Salian (Stitch Fix) |
| Conference | Strata Data Conference |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | May 23-25, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Security is a crucial component of the big data ecosystem. The need to protect data from exploits and vulnerability is evident in the strong push for cybersecurity and secure clusters across businesses and industries alike. Spark itself has been a major analytic backbone of that infrastructure. As with Hadoop, the security infrastructure for Spark is evolving and expanding. So how do you ensure security with Spark without much hassle? Neelesh Srinivas Salian outlines the steps that need to be taken to set up security with Spark and discusses the potential issues with Spark Core, Streaming, and other components. Detailed knowledge of the setup and an awareness of what to be looking out for in terms of problems and issues can help an organization move forward in the right way.
