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Course Outline
Introduction to Apache Spark
- The significance of Spark in the context of big data processing.
- An overview of Spark architecture and its core components.
Setting Up Apache Spark
- Essential hardware and software prerequisites.
- Guidelines for installation in both standalone and cluster modes.
- Recommended configuration practices for system administrators.
Administering Spark Clusters
- Tools and methodologies for effective cluster management.
- Techniques for monitoring Spark applications and resource usage.
- Configuring security settings and managing user access.
Performance Tuning and Optimization
- Strategies for resource allocation and task scheduling.
- Methods to tune Spark for peak performance.
- Identifying and addressing typical performance bottlenecks.
Troubleshooting and Problem-Solving
- Navigating common challenges in Spark administration.
- Utilizing diagnostic tools and techniques for effective troubleshooting.
- A structured, step-by-step approach to resolving frequent issues.
- Best practices for sustaining a stable and healthy Spark environment.
Advanced Administration Topics
- Integrating Spark with other big data ecosystem tools.
- Establishing high availability and disaster recovery frameworks.
- Processes for upgrading and scaling Spark clusters.
Requirements
- Fundamental understanding of network configuration and management.
- Proficiency with the Linux operating system and command-line interfaces.
- 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.
