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Amazon EMR and Big Data Processing
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Amazon EMR and Big Data Processing

INR 29
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📂 AWS Certifications

Description

Big data processing using Amazon EMR with Apache Spark, Hadoop, and other big data frameworks for large-scale data analytics.

Learning Objectives

Learners will master big data processing concepts using Amazon EMR, develop Spark applications for large-scale data processing, optimize cluster performance, and integrate EMR with other AWS services for comprehensive big data solutions.

Topics (6)

1
Big Data Concepts and EMR Overview

Big data characteristics, distributed computing principles, EMR cluster architecture, and use cases for big data processing.

2
EMR Cluster Management

Cluster configuration, instance types, auto-scaling, security groups, and cluster lifecycle management.

3
Apache Spark on EMR

Spark fundamentals, RDD and DataFrame operations, Spark SQL, performance tuning, and memory management.

4
Hadoop Ecosystem on EMR

HDFS operations, Hive data warehousing, HBase NoSQL database, and integration with other Hadoop tools.

5
EMR Performance Optimization

Performance tuning, resource allocation, spot instances, cluster sizing, and cost optimization strategies.

6
EMR Integration and Orchestration

S3 integration, Step Functions orchestration, CloudWatch monitoring, and integration with data pipeline services.