pyspark-on-aws-emr
uber-expenses-tracking
pyspark-on-aws-emr | uber-expenses-tracking | |
---|---|---|
1 | 2 | |
24 | 94 | |
- | - | |
3.6 | 2.6 | |
almost 2 years ago | almost 2 years ago | |
Python | Jupyter Notebook | |
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.
pyspark-on-aws-emr
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Data Engineering Projects for Beginners
Building Big Data Pipelines in the Cloud with AWS EMR
uber-expenses-tracking
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Data Engineering Projects for Beginners
Tracking your Uber Rides and Uber Eats expenses through a data engineering process
- uber-expenses-tracking
What are some alternatives?
docker-livy - Dockerizing and Consuming an Apache Livy environment
TypedPyspark - Type-annotate your spark dataframes and validate them
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.
demo-code - Bits of code I use during live demos
text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico
Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.
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).
IDEA - Text Data Visualizer with Django
dados-censup - Automação da ingestão de dados disponibilizados pelo INEP referente ao censo superior da educacão brasileira.