uber-expenses-tracking
pyspark-on-aws-emr
uber-expenses-tracking | pyspark-on-aws-emr | |
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2 | 1 | |
94 | 24 | |
- | - | |
2.6 | 3.6 | |
almost 2 years ago | almost 2 years ago | |
Jupyter Notebook | Python | |
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.
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
pyspark-on-aws-emr
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Data Engineering Projects for Beginners
Building Big Data Pipelines in the Cloud with AWS EMR
What are some alternatives?
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TypedPyspark - Type-annotate your spark dataframes and validate them
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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.
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).
livyc - Apache Spark as a Service with Apache Livy Client
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IDEA - Text Data Visualizer with Django