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AWS Data Engineering Certification Prep
·
Module 5
Big Data Processing with Amazon EMR
1
Optimizing EMR Clusters with Instance Types and Auto-Scaling
Configure EMR clusters with appropriate instance types and auto-scaling policies.
2
EMR Network Security Configuration
Configure EMR network security using security groups and VPC settings.
3
EMRFS S3 Integration and Encryption
Configure EMR to read from and write to S3 using EMRFS, including encryption settings.
4
PySpark for Data Transformation
Write a Spark application using PySpark to perform common data transformations (e.g., select, filter, join, groupBy).
5
Submitting and Monitoring Spark Applications on EMR
Submit a Spark application to an EMR cluster and monitor its execution using the Spark UI.
6
Interactive Querying S3 with EMR, Hive, or Presto
Implement Hive or Presto on EMR for interactive SQL-like querying of data in S3.
7
Optimizing EMR Spark Performance
Identify performance bottlenecks in EMR Spark jobs by analyzing job history and logs.
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Scalable ETL with AWS Glue
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Data Warehousing with Amazon Redshift