quilt
lakeFS
| quilt | lakeFS | |
|---|---|---|
| 2 | 48 | |
| 1,313 | 4,066 | |
| 0.2% | 0.8% | |
| 9.5 | 9.8 | |
| 7 days ago | 5 days ago | |
| Jupyter Notebook | Go | |
| 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.
quilt
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Unstructured Data Governance for ML
Quilt: https://quiltdata.com/
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Lessons From Building a Highly Reproducible Data Warehouse
We do a lot of SQL queries over (CSVs, Parquet, JSON) in S3 using AWS Athena. I work on an OSS project called Quilt that snapshots immutable datasets in S3 and supports reproducibility, idempotency, and functional data engineering.
lakeFS
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A Step-by-Step Guide to Implementing Data Version Control
# Download the LakeFS binary wget https://github.com/treeverse/lakeFS/releases/latest/download/lakefs # Make the binary executable chmod +x lakefs # Initialize LakeFS with S3 as the storage backend ./lakefs init --backend s3 --s3-gateway-endpoint --s3-region --s3-force-path-style --s3-access-key --s3-secret-key
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Jujutsu: A Git-compatible DVCS that is both simple and powerful
Might want to look at purpose built tools for that such as lakeFS (https://github.com/treeverse/lakeFS/)
* Disclaimer: I'm one of the creators/maintainers of the project.
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Data diffs: Algorithms for explaining what changed in a dataset (2022)
Might want to checkout lakeFS: https://github.com/treeverse/lakeFS
(full disclosure: I'm one of the creators)
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Transactions in Spark / Delta lake?
Take a look at https://github.com/treeverse/lakeFS -
- LakeFS – Version Control for Big Data
- DuckDB <3 LakeFS
- We built an open-source project (3.1K stars on GitHub) for data version control
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How are you incrementally testing your data pipelines as you develop them?
I mean if you're ready to adopt a new framework into your ecosystem this is one of the major usecases for LakeFS.
- Git-for-Data
- LakeFS: Git-like versioning for object stores
What are some alternatives?
dvc - 🦉 ML Experiments and Data Management with Git
data - Data and code behind the articles and graphics at FiveThirtyEight
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
data-engineering-nd - Projects of the Udacity Data Engineering Nanodegree Program.
git-lfs - Git extension for versioning large files
demo-code - Bits of code I use during live demos
Ory Kratos - Next-gen identity server replacing your Auth0, Okta, Firebase with hardened security and PassKeys, SMS, OIDC, Social Sign In, MFA, FIDO, TOTP and OTP, WebAuthn, passwordless and much more. Golang, headless, API-first. Available as a worry-free SaaS with the fairest pricing on the market!
data-engineering-book - Accumulated knowledge and experience in the field of Data Engineering
MLflow - Open source platform for the machine learning lifecycle
datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning
duf - Disk Usage/Free Utility - a better 'df' alternative