DataEngineeringProject
synapse-s3-storage-provider
| DataEngineeringProject | synapse-s3-storage-provider | |
|---|---|---|
| 5 | 1 | |
| 985 | 107 | |
| - | 0.9% | |
| 0.0 | 5.5 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| MIT License | 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.
DataEngineeringProject
- What are your favourite GitHub repos that shows how data engineering should be done?
- Is it me or are beginner-friendly ETL pipeline guides that explain from the ground-up how to incorporate the use of various technologies notoriously difficult to find.
-
Starting A Data Engineering Project Series
News RSS Feeds
-
5 Data Sources for Data Engineering Projects
Lastly, the most readily available data source would be data scraped from the internet. To be slightly less vague, I have outlined a project that web-scrapes new online articles every ten minutes to provide all the latest news curated into one place. This project utilizes a wide variety of relevant data engineering tools, which makes it a great project example. The author of this project is Damian Kliś, and he outlines his model architecture below:
-
Can You Recommend Good Data Engineering Projects
Here is my project that got me a few interviews so far: https://github.com/damklis/DataEngineeringProject
synapse-s3-storage-provider
What are some alternatives?
blinkist-scraper - 📚 Python tool to download book summaries and audio from Blinkist.com, and generate some pretty output
garage - (Mirror) S3-compatible object store for small self-hosted geo-distributed deployments. Main repo: https://git.deuxfleurs.fr/Deuxfleurs/garage
yaetos - Write data & AI pipelines in (SQL, Spark, Pandas) and deploy to the cloud, simplified
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
amazon-s3-find-and-forget - Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)
matrix.to - A simple stateless privacy-protecting URL redirecting service for Matrix
Zillow-Data-Engineering
seaweedfs - SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding.
openwisp-monitoring - Network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.
Seaweed File System - SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding. [Moved to: https://github.com/seaweedfs/seaweedfs]
openverse-catalog - Identifies and collects data on cc-licensed content across web crawl data and public apis.
pithos - UNMAINTAINED - cassandra-backed object store. Retired backend for Exoscale's Simple Object Storage offering.