Apache Spark Essential Training: Big Data Engineering
Course Overview
Big data engineering is the backbone of modern data-driven applications. In this course, instructor Kumaran Ponnambalam introduces the key functions and concepts of data engineering, focusing on building end-to-end solutions using Apache Spark.
You’ll explore Spark’s capabilities for ETL, parallel processing, execution plans, and state management. The course covers batch processing pipelines, real-time streaming applications, and best practices for optimizing Spark’s performance. Finally, you’ll apply your skills in an end-to-end project that brings everything together.
By the end of this course, you’ll have a solid understanding of how to construct scalable, high-performance data pipelines using Apache Spark and other big data technologies.
What You'll Learn
- Hands-on training in Apache Spark for data engineering.
- Expert insights into building efficient data pipelines.
- Practical applications of batch and real-time processing.
- End-to-end project to apply your knowledge in real-world scenarios.
- Best practices for optimizing Spark performance.
694 THB
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Skills You'll Gain:
