data-engineer-challenge
apache-spark-docker
| data-engineer-challenge | apache-spark-docker | |
|---|---|---|
| 3 | 1 | |
| 25 | 40 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 2 years ago | almost 2 years ago | |
| Python | VBA | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
data-engineer-challenge
-
Data Engineering Projects for Beginners
Design, Development and Deployment of a simple Data Pipeline
- Design, Development and Deployment of a simple Data Pipeline
apache-spark-docker
-
Data Engineering Projects for Beginners
Learn how to dockerize an Apache Spark Standalone Cluster
What are some alternatives?
docker-livy - Dockerizing and Consuming an Apache Livy environment
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
docker-hadoop - Apache Hadoop docker image
Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school
livyc - Apache Spark as a Service with Apache Livy Client
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.
text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico
recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)
data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)