Course Outline

Introduction to Apache Spark

  • The role of Spark in big data processing
  • Spark architecture and its components

Setting Up Apache Spark

  • Hardware and software requirements
  • Installation procedures for standalone and cluster modes
  • Configuration best practices for system administrators

Administering Spark Clusters

  • Cluster management tools and techniques
  • Monitoring Spark applications and cluster resources
  • Security configurations and user management

Performance Tuning and Optimization

  • Resource allocation and scheduling
  • Tuning Spark for optimal performance
  • Identifying and resolving common bottlenecks

Troubleshooting and Problem-Solving

  • Common Spark administration challenges
  • Diagnostic tools and techniques for troubleshooting
  • Step-by-step approach to resolving common issues
  • Best practices for maintaining a healthy Spark environment

Advanced Administration Topics

  • Integration with other big data tools
  • Ensuring high availability and disaster recovery
  • Upgrading and scaling Spark clusters

Summary and Next Steps


  • Basic knowledge of network configuration and management
  • Familiarity with Linux operating system and command-line interface
  • Interest in learning about distributed computing systems and big data management


  • System administrators
 35 Hours

Number of participants

Price per participant

Testimonials (5)

Related Categories