python-kv-benchmark
DataEngineeringProject
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| python-kv-benchmark | DataEngineeringProject | |
|---|---|---|
| 1 | 5 | |
| 2 | 985 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| Do What The F*ck You Want To Public License | MIT License |
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.
python-kv-benchmark
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.
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Starting A Data Engineering Project Series
News RSS Feeds
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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:
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Can You Recommend Good Data Engineering Projects
Here is my project that got me a few interviews so far: https://github.com/damklis/DataEngineeringProject
What are some alternatives?
cryptostore - A scalable storage service for cryptocurrency data
blinkist-scraper - 📚 Python tool to download book summaries and audio from Blinkist.com, and generate some pretty output
redis-benchmarks-specification - The Redis benchmarks specification describes the cross-language/tools requirements and expectations to foster performance and observability standards around redis related technologies. Members from both industry and academia, including organizations and individuals are encouraged to contribute.
synapse-s3-storage-provider - Synapse storage provider to fetch and store media in Amazon S3
yaetos - Write data & AI pipelines in (SQL, Spark, Pandas) and deploy to the cloud, simplified
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)
Zillow-Data-Engineering
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.
openverse-catalog - Identifies and collects data on cc-licensed content across web crawl data and public apis.
datajob - Build and deploy a serverless data pipeline on AWS with no effort.
AdvancedSQLPuzzles - Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.