docker-livy
data-engineering-challenge-th
docker-livy | data-engineering-challenge-th | |
---|---|---|
1 | 1 | |
11 | 13 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | over 2 years ago | |
HTML | Python | |
MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
docker-livy
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Data Engineering Projects for Beginners
Dockerizing and Consuming an Apache Livy environment
data-engineering-challenge-th
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Data Engineering Projects for Beginners
Dockerizing a Python Script for Faster Web Scraping
What are some alternatives?
pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.
data-engineer-challenge - Challenge Data Engineer
pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
apache-spark-docker - Dockerizing an Apache Spark Standalone Cluster
distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points
dockerAngularNginxNodePostgreSQL - A complete stack for running builded Angular App into Docker containers using docker compose tool, with a proxy Nginx between front and back (conected to the DB container with Sequelize ORM).
recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)
uber-expenses-tracking - The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.
wbz - A parallel implementation of the bzip2 data compressor in python, this data compression pipeline is using algorithms like Burrows–Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. For now, this tool only will be focused on compressing .csv files, and other files on tabular format.