GitHub topics: aws-emr
snowplow/emr-etl-runner
Run Snowplow's enrichments on Amazon Elastic MapReduce with minimum fuss
Language: Ruby - Size: 774 KB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 5

harshkavdikar1/Udacity-DataEngineering-NanoDegree
Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

jomavera/dataLake
ETL pipeline with PySpark on EMR for data lake on S3
Language: Python - Size: 119 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

lpillmann/udacity-data-lake-s3-spark
Code for Udacity Data Engineering Nanodegree Project named Data Lake with AWS S3 and Spark
Language: Python - Size: 417 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

jpsalado92/Udacity-DEND_DataLake-AWSEMR
Full code for UDACITY's Data Engineer Nano Degree project. Implementing a Data Lake in Amazon's cloud with AWS S3, AWS EMR and Spark.
Language: Python - Size: 5.2 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

paulodnobre/udacity-data-engineering-nanodegree
This repository contains the projects that I did for the Data Engineering Nanodegree by Udacity.
Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

delijati/spark-emr
Spark EMR (Spot) cluster manager
Language: Python - Size: 25.4 KB - Last synced at: 11 days ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

lrakai/intro-to-amazon-elastic-mapreduce
Lab to familiarize yourself with Amazon Elastic MapReduce (EMR)
Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

ushangt/FlightDataAnalysis
Get the average monthly delay for 17 years data for the Top 5 Airports and Top 5 Airlines in USA
Language: HTML - Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
