Apache Spark is an open-source toolkit that helps users develop parallel, distributed data engineering and machine learning applications and run them at scale. In this webinar, Rob Gibbon – product manager, and Massimiliano Gori – senior information security lead, will survey the state of big data security best practices and outline both high level architectures and pragmatic steps that you can take to secure your Spark applications – wherever they may be running.
Watch this webinar where we discussed the following:
– An introduction to Apache Spark – what it is and how it works
– Motives and techniques of bad actors
– How to identify and prioritise security requirements.
– Pragmatic steps to secure Spark based on Kubernetes and object storage.
3:46 What is Apache Spark?
10:36 Potential security threats for Apache Spark
21:00 How to identify and prioritize security requirements
28:20 Pragmatic steps to secure Apache Spark
Canonical Charmed Spark:
https://ubuntu.com/data/spark
Blog: Big data security foundations in five steps:
https://ubuntu.com/blog/big-data-security-foundations-in-five-steps
Whitepaper: Accelerating Apache Kafka:
https://ubuntu.com/engage/7-approaches-accelerating-kafka-whitepaper
Whitepaper: Kubernetes operators explained:
https://ubuntu.com/engage/kubernetes-operators-explained-whitepaper
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