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Dive into the world of AWS and master Amazon Elastic Map Reduce (EMR) in this 39-minute data engineering tutorial. Learn to set up EMR and Cloud9 on AWS, create Spark jobs with S3, submit tasks to EMR, visualize processes on EMR Spark and Hadoop UI, and use EMR Steps for cluster submission. Gain practical insights into cloud computing, big data processing, and data visualization techniques essential for data engineers. Follow along with timestamps, access provided resources, and enhance your skills in AWS, Spark, and data processing for cloud environments.
Syllabus
- Introduction
- Setting up EMR on AWS
- Setting up Cloud9 on AWS
- Setting Up a Spark Job with S3
- Submitting Jobs to EMR
- Visualizing the Process on EMR Spark and Hadoop UI
- Submitting to the Cluster with EMR Steps
- Results
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