Opleiding: Advanced Apache Spark for Data Engineers

Get a deeper understanding of Apache Spark in order to optimize your data workflow.

In this course, you will explore techniques and best practices for optimizing Apache Spark applications. As you study the architectural elements of Spark, you will learn to work with the Spark UI. You will identify and address common performance issues caused by shuffles and skew. Advanced optimization strategies for join, union, and merge operations, data formats, caching mechanisms, garbage collector settings, data partitioning, bucketing, and Delta Lake optimizations are also covered. Additionally, you will explore regular maintenance tasks for Spark applications and learn how to customize Spark session configurations for optimal performance.
- Describe the architecture of a spark application. [Remember]
- Explain the structure and functionality of the Spark UI. [Understand]
- Predict common performance issues casued by shuffling and data skew. [Apply]
- Optimize join, union, and merge operations in Spark. [Analyze]
- Change the data format for optimal performance. [Apply]
- Implement caching mechanisms and garbage collector settings for enhanced performance. [Apply]
- Use data partitioning and bucketing in Spark workloads. [Apply]
- Apply Delta Lake optimiz…