patterns-devkit
workshop-realtime-data-pipelines
patterns-devkit | workshop-realtime-data-pipelines | |
---|---|---|
5 | 1 | |
106 | 3 | |
0.0% | - | |
2.9 | 2.3 | |
about 1 year ago | 9 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | - |
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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.
patterns-devkit
workshop-realtime-data-pipelines
What are some alternatives?
pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.
Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
numWorkshop - A python wrapper for the numworks workshop.
pipebird - Pipebird is open source infrastructure for securely sharing data with customers.
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern
Spooq
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
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).