patterns-devkit
versatile-data-kit
patterns-devkit | versatile-data-kit | |
---|---|---|
5 | 52 | |
106 | 410 | |
0.0% | 1.0% | |
2.9 | 9.7 | |
about 1 year ago | 3 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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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
versatile-data-kit
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Looking for a data blogger
Here's the project: https://github.com/vmware/versatile-data-kit
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Need advice on ETL tool
I don't really know if this would work for you because the UI is not functional yet, but a very simple REST API ingestion example here, there's one for csv too https://github.com/vmware/versatile-data-kit/wiki/Ingesting-data-from-REST-API-into-Database I can't imagine a simpler way unless it's really drag and drop.
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If dbt is the "T" part of an "ELT", what do you use for "EL"?
I work at VMware and we use one tool for the whole ELT, it was made internally as there was no good alternative at the time and now we opensourced it, here it is: https://github.com/vmware/versatile-data-kit
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Best way to fix errors in my data?
With my team we created csv ingestion plugin described here, maybe you want to try it out: https://github.com/vmware/versatile-data-kit/wiki/Ingesting-local-CSV-file-into-Database
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What Orchestration Tool do you use for batch ETL/ELT?
We use Versatile Data Kit for batch data job orchestration (https://github.com/vmware/versatile-data-kit)
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Dear, pipeline builders! Which step in your role is the most time consuming?
"suggestions on how to reduce the time spent on initially generating and adjusting the code" is using some tools that automate ELT. Here's one open-source tool I'm working on with my team: https://github.com/vmware/versatile-data-kit
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Problem definition / vibe check for a repo
here's the repo: https://github.com/vmware/versatile-data-kit
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Can we take a moment to appreciate how much of dataengineering is open source?
If you wish to contribute, projects usually have good first issues: https://github.com/vmware/versatile-data-kit/labels/good%20first%20issue If you wish to learn, check out examples: https://github.com/vmware/versatile-data-kit/tree/main/examples
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ETL question (noob)
Have you heard about versatile data kit (https://github.com/vmware/versatile-data-kit)? I think it meets your needs perfectly:
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DE Open Source
Versatile Data Kit is a framework to bBuild, run and manage your data pipelines with Python or SQL on any cloud https://github.com/vmware/versatile-data-kit here's a list of good first issues: https://github.com/vmware/versatile-data-kit/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22 Join our slack channel to connect with our team: https://cloud-native.slack.com/archives/C033PSLKCPR
What are some alternatives?
pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.
data-engineering-zoomcamp - Free Data Engineering course!
Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
pipebird - Pipebird is open source infrastructure for securely sharing data with customers.
quadratic - Quadratic | Data Science Spreadsheet with Python & SQL
SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern
pyramid-jsonapi - Auto-build JSON API from sqlalchemy models using the pyramid framework
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
dbt-data-reliability - dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
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).
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton