uber-expenses-tracking VS data-engineer-challenge

Compare uber-expenses-tracking vs data-engineer-challenge and see what are their differences.

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. (by Wittline)
data-engineering Python apache-airflow etl-pipeline aws-redshift power-bi data-modeling uber-eats uber-data expenses-dashboard expenses-tracker airflow-docker Uber AWS
Source Code
wittline.github.io
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data-engineer-challenge

Challenge Data Engineer (by Wittline)
data-engineering data-pipeline dataengineering Docker docker-compose Fastapi Postgresql
Source Code
wittline.github.io
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uber-expenses-tracking data-engineer-challenge
2 3
94 25
- -
2.6 1.8
almost 2 years ago almost 2 years ago
Jupyter Notebook Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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uber-expenses-tracking

Posts with mentions or reviews of uber-expenses-tracking. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

data-engineer-challenge

Posts with mentions or reviews of data-engineer-challenge. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing uber-expenses-tracking and data-engineer-challenge you can also consider the following projects:

docker-livy - Dockerizing and Consuming an Apache Livy environment

airflow-docker - This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.

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

text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico

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

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

dados-censup - Automação da ingestão de dados disponibilizados pelo INEP referente ao censo superior da educacão brasileira.

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)

uber-expenses-tracking vs docker-livy data-engineer-challenge vs docker-livy uber-expenses-tracking vs airflow-docker data-engineer-challenge vs distance-metrics uber-expenses-tracking vs text-analysis-speeches-amlo data-engineer-challenge vs Dropout-Students-Prediction uber-expenses-tracking vs Dropout-Students-Prediction data-engineer-challenge vs livyc uber-expenses-tracking vs AWS Data Wrangler data-engineer-challenge vs text-analysis-speeches-amlo uber-expenses-tracking vs dados-censup data-engineer-challenge vs data-engineering-challenge-th