Course Outline
Introduction to Apache Spark
- The significance of Spark in big data processing
- Overview of Spark's architecture and core components
Setting Up Apache Spark
- Necessary hardware and software prerequisites
- Installation processes for both standalone and cluster modes
- Configuration best practices specifically for system administrators
Administering Spark Clusters
- Tools and methodologies for cluster management
- Monitoring applications and managing cluster resources
- Configuring security settings and managing user access
Performance Tuning and Optimization
- Strategies for resource allocation and task scheduling
- Adjusting Spark settings for peak performance
- Recognizing and addressing common performance bottlenecks
Troubleshooting and Problem-Solving
- Typical challenges in Spark administration
- Diagnostic utilities and techniques for issue resolution
- A structured, step-by-step method for fixing common problems
- Best practices for keeping a Spark environment stable and healthy
Advanced Administration Topics
- Integrating Spark with other big data tools
- Maintaining high availability and implementing disaster recovery
- Processes for upgrading and scaling Spark clusters
Requirements
- Fundamental understanding of network configuration and administration
- Proficiency with the Linux operating system and its command-line interface
- A keen interest in exploring distributed computing systems and big data management
Target Audience
- System administrators
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
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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.