Data Engineering with Apache Spark (Advanced)
In this advanced quest, you will dive deep into the world of Data Engineering using Apache Spark. You will learn how to handle large datasets, perform efficient data transformations, and leverage Spark's powerful analytics capabilities. The quest will cover advanced techniques such as Spark SQL, DataFrames, and Spark Streaming, providing you with the skills needed to build robust data pipelines. You will also explore best practices for optimizing Spark jobs and managing clusters effectively. Through hands-on projects, you will gain practical experience in building real-time data processing applications, ensuring you are well-equipped for the challenges in modern data engineering.
• Understand the architecture and components of Apache Spark.
• Perform advanced data transformations using DataFrames and Spark SQL.
• Implement Spark Streaming for real-time data processing.
• Optimize Spark jobs for performance and scalability.
