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👷🌇 Set up and build a big data processing pipeline with Apache Spark, 📦 AWS services (S3, EMR, EC2, IAM, VPC, Redshift) Terraform to setup the infrastructure and Integration Airflow to automate workflows🥊

License: Apache License 2.0

HCL 23.81% Makefile 1.30% Python 73.61% Dockerfile 0.58% Shell 0.70%
apache-spark aws aws-ec2 aws-s3 emr-cluster iam pyspark redshift spark-master spark-worker aws-services cloud-computing data-pipeline spark-cluster terraform apache-airflow

spark-processing-aws's Introduction

👷 Spark-Processing-AWS

In this project, I set up and build a big data processing pipeline using Apache Spark integrated with various AWS services, including S3, EMR, EC2, VPC, IAM, and Redshift and Terraform to setup the infrastructure

🔦 About Project

📦 Technologies

  • S3
  • EMR
  • EC2
  • Airflow
  • Redshift
  • Terraform
  • Spark
  • VPC
  • IAM

🦄 Features

👩🏽‍🍳 The Process

📚 What I Learned

💭 How can it be improved?

🚦 Running the Project

spark-processing-aws's People

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