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A Holistic Approach to Securing Spark-Based Data Engineering

Offered By: Canonical Ubuntu via YouTube

Tags

Apache Spark Courses Machine Learning Courses Kubernetes Courses Data Protection Courses Data Engineering Courses Distributed Computing Courses Parallel Processing Courses Big Data Security Courses

Course Description

Overview

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Explore a comprehensive webinar on securing Apache Spark-based data engineering applications. Gain insights into the open-source toolkit's functionality and learn about potential security threats faced by big data systems. Discover how to identify and prioritize security requirements for Spark applications. Follow pragmatic steps to secure Spark deployments based on Kubernetes and object storage. Delve into topics including an introduction to Apache Spark, motives and techniques of bad actors, and practical security measures. Benefit from the expertise of product management and information security professionals as they survey big data security best practices and outline high-level architectures for secure Spark applications across various environments.

Syllabus

Introduction
What is Apache Spark?
Potential security threats for Apache Spark
How to identify and prioritize security requirements
Pragmatic steps to secure Apache Spark


Taught by

Canonical Ubuntu

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