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ADMIN-332: Building Secure Clusters

ADMIN-332: Building Secure Clusters focuses on the essential skills required to design, implement, and maintain secure clusters in data management systems. This course covers a wide range of topics such as configuring access controls, securing data in transit and at rest, implementing encryption, and best practices for cluster hardening. Designed for IT professionals, this course emphasizes the importance of security in modern data ecosystems, especially when handling large-scale, sensitive data. Participants will gain practical, hands-on experience in securing clusters, ensuring privacy, and preventing unauthorized access while maintaining optimal performance.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
September 22nd - 25th
09:00 AM - 05:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
Guaranteed-to-Run
40% Off
₹138,944
83,366
Fast Filling! Hurry Up.
October 06th - 09th
09:00 AM - 05:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
50% Off
₹138,944
69,472
October 13th - 16th
09:00 AM - 05:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
50% Off
₹138,944
69,472
October 20th - 29th
06:00 PM - 10:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
50% Off
₹138,944
69,472
October 27th - 30th
09:00 AM - 05:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
Guaranteed-to-Run
50% Off
₹138,944
69,472
November 03rd - 06th
09:00 AM - 05:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
60% Off
₹138,944
55,578
November 10th - 13th
09:00 AM - 05:00 PM (IST)
Live Virtual Classroom (Duration : 32 Hours)
60% Off
₹138,944
55,578

Course Prerequisites

  • Basic understanding of distributed systems and cluster architectures
  • Familiarity with Linux/Unix operating systems and command-line tools
  • General knowledge of security concepts (encryption, firewalls, access control)

Prior experience with big data platforms (such as Hadoop or Spark) is beneficial but not mandatory.

Learning Objectives

By the end of this course, participants will be able to:

  • Implement security controls for cluster nodes and services
  • Configure user authentication and manage permissions using RBAC
  • Secure data through encryption methods both at rest and in transit
  • Harden operating systems and applications to prevent security vulnerabilities
  • Monitor and audit cluster environments for security risks
  • Develop secure backup, recovery, and disaster recovery plans
  • Apply advanced security techniques to safeguard cluster infrastructure

Target Audience

This course is designed for professionals responsible for building and maintaining secure clusters in data environments. The target audience includes:

  • IT Administrators
  • Cloud Infrastructure Engineers
  • Security Engineers
  • System Architects
  • Data Engineers
  • Network Administrators
  • Professionals seeking to enhance their knowledge of cluster security in data systems

Course Modules

  • Introduction to Cluster Security

    • Overview of cluster architectures and security considerations
    • Importance of security in distributed systems
    • Key security challenges in cluster environments
  • Configuring Access Control

    • Setting up and managing user authentication
    • Role-based access control (RBAC) implementation
    • Integrating with directory services (LDAP, Kerberos)
  • Data Encryption and Secure Communication

    • Encrypting data at rest using various encryption techniques
    • Encrypting data in transit with SSL/TLS
    • Secure communication between cluster nodes
  • Cluster Hardening and Best Practices

    • Hardening operating systems and applications
    • Security best practices for Hadoop and big data clusters
    • Limiting access and securing sensitive components
  • Monitoring and Auditing Cluster Security

    • Setting up security monitoring tools
    • Logging, auditing, and reporting on cluster security events
    • Implementing real-time security alerts
  • Securing Cloud-Based and Hybrid Clusters

    • Securing clusters in cloud environments (AWS, Azure, GCP)
    • Best practices for hybrid cloud security
    • Multi-cloud and cross-region cluster security considerations
  • Backup, Recovery, and Disaster Recovery

    • Secure backup strategies for clusters
    • Implementing disaster recovery procedures
    • Securing data recovery processes
  • Advanced Cluster Security Techniques

    • Advanced methods for securing cluster nodes and communications
    • Integrating security into automated workflows
    • Reducing the attack surface and preventing data breaches

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