Data Engineering Vol2 AWS : Data Processing – Spark & Kafka

Source: https://www.udemy.com/course/data-processing-with-spark-kafka-data-engineering-vol2-aws/

What you’ll learn

• Deep dive on Spark and Kafka using AWS EMR, Databricks, MSK
• Understand Data Engineering (Volume 2) on AWS using Spark and Kafka
• Batch and Stream processing using Spark and Kafka
• Production level projects and hands-on to help candidates provide on-job-like training
• Get access to datasets of size 100 GB – 200 GB and practice using the same
• Learn Python for Data Engineering with HANDS-ON (Functions, Arguments, OOP (class, object, self), Modules, Packages, Multithreading, file handling etc.
• Learn SQL for Data Engineering with HANDS-ON (Database objects, CASE, Window Functions, CTE, CTAS, MERGE, Materialized View etc.)
• AWS Data Analytics services – S3, EMR, Databricks, MSK

Requirements

• Good to have AWS and SQL knowledge

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