Need 75 – 100 words per topic
Unit 2
Discussion Topic 1
Hadoop Core
Components
Review the Hadoop core
components. Describe any security considerations for the namenode and
datanode.
Unit 2
Discussion Topic 2
Topic 2:
Inference and Aggregation
Explain how
data inference and aggregation can be security issues in a big data
environment.
Unit 3
Discussion Topic 1
Securing Data
Explain the
data ecosystem. Include data-at-rest and data-in-transit methods and systems.
This is the big picture view. List the various areas that could be considered
weaknesses or require extra focus towards security.
Unit 3
Discussion Topic 2
Encryption
Compare and
contrast transparent data encryption (TDE) versus always encrypted. Choose
either TDE or always encrypted as the better method to use. Explain your
choice.
Unit 4
Discussion Topic 1
Topic 1:
Kerberos
Describe
Kerberos authentication security. Explain what it is, how you authenticate with
it, and encryption methods/types used.
Unit 4
Discussion Topic 2
Topic 2:
Ecosystem Security
Research and
explain data access controls within the Hadoop big data ecosystem.
Unit 5
Discussion Topic 1
Topic 1:
Securing Data
Review the top
10 vulnerabilities for 2019 on Security Boulevard. Pick two vulnerabilities
and describe how they might work in a stand-alone and networked environment.
Unit 5
Discussion Topic 2
Topic 2:
Encryption
Explain how
service accounts can be compromised and methods to prevent any compromise.
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