pyDag VS uber-expenses-tracking

Compare pyDag vs uber-expenses-tracking and see what are their differences.

pyDag

Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
Big Data Bigquery Cloud Dag data-engineering data-pipeline dataengineering dataproc dataproc-cluster directed-acyclic-graph google-cloud google-cloud-platform parallel-processing task-scheduler task-scheduling Workflow engine
Source Code
wittline.github.io
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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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pyDag uber-expenses-tracking
2 2
24 94
- -
0.0 2.6
over 1 year ago almost 2 years ago
Python Jupyter Notebook
Apache License 2.0 Apache License 2.0
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pyDag

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

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.

What are some alternatives?

When comparing pyDag and uber-expenses-tracking you can also consider the following projects:

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-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.

livyc - Apache Spark as a Service with Apache Livy Client

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

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

p_tqdm - Parallel processing with progress bars

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).

breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies

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

pyDag vs distance-metrics uber-expenses-tracking vs docker-livy pyDag vs docker-livy uber-expenses-tracking vs airflow-docker pyDag vs livyc uber-expenses-tracking vs text-analysis-speeches-amlo pyDag vs pubsub2inbox uber-expenses-tracking vs Dropout-Students-Prediction pyDag vs p_tqdm uber-expenses-tracking vs AWS Data Wrangler pyDag vs breaking_cycles_in_noisy_hierarchies uber-expenses-tracking vs dados-censup