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Course Outline
Overview of Apache Spark
- Spark's pivotal role in big data workflows
- Understanding Spark's architecture and key components
Initial Setup for Apache Spark
- Hardware and software prerequisites
- Deployment procedures for both standalone and cluster modes
- Optimal configuration practices for system administrators
Managing Spark Clusters
- Essential tools and techniques for cluster administration
- Monitoring application performance and cluster resource usage
- Configuring security settings and managing user access
Optimizing Performance and Tuning
- Strategies for resource allocation and task scheduling
- Tuning configurations to achieve peak performance
- Detecting and eliminating common performance bottlenecks
Diagnosis and Resolution
- Addressing common challenges in Spark administration
- Utilizing diagnostic tools and methods for effective troubleshooting
- A structured approach to resolving frequent issues
- Best practices for sustaining a stable Spark environment
Advanced Management Concepts
- Integrating Spark with other big data platforms
- Establishing high availability and disaster recovery mechanisms
- Processes for upgrading and scaling Spark clusters
Requirements
- Fundamental understanding of network setup and management.
- Working knowledge of the Linux operating system and its command-line interface.
- A strong interest in exploring distributed computing systems and big data management.
Target Audience
- System Administrators
35 Hours
Testimonials (3)
A journey through the Spark world: a very intense course. DSL, spark sql, partitioning vs bucketing for me.
Georgiana Elisabeta
Course - Apache Spark Fundamentals
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
