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1
Introduction
2
Agenda
3
What is Spark
4
Security threats to Spark
5
What does Spark do
6
Motivations for cyber attacks
7
Financial vs Espionage
8
State Sponsored Threats
9
Insider Attacks
10
Preventative Control
11
Threat Modeling
12
Stride Framework
13
CNCF
14
Finding processes that work for the business
15
Risk Evaluation Framework
16
Spark Security Features
17
Data Value
18
Cloud Providers
19
Perimeter Access
20
What should teams do
21
Business continuity plan
22
Automation
23
Cyberkill chain
24
Managed solutions
25
Compliance
26
Closing
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the world of Apache Spark security in this 43-minute webinar from Canonical Ubuntu. Gain insights into the open-source toolkit for parallel, distributed data engineering and machine learning applications. Learn about security best practices, high-level architectures, and practical steps to secure Spark applications. Discover the basics of Apache Spark, understand potential security threats, and explore techniques used by bad actors. Identify and prioritize security requirements, and implement pragmatic measures to secure Spark based on Kubernetes and object storage. Delve into topics such as threat modeling, risk evaluation, and the STRIDE framework. Understand the importance of business continuity planning, automation, and compliance in maintaining a secure Spark environment. Gain valuable knowledge on perimeter access, cloud providers, and managed solutions to enhance your big data operations' security.

Securing Apache Spark Big Data Operations: Threats, Best Practices, and Pragmatic Steps

Canonical Ubuntu
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