data-engineering-wiki
The best place to learn data engineering. Built and maintained by the data engineering community. (by data-engineering-community)
Dataplane
Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows. (by dataplane-app)
| data-engineering-wiki | Dataplane | |
|---|---|---|
| 15 | 1 | |
| 1,036 | 184 | |
| 3.4% | 1.6% | |
| 7.5 | 8.3 | |
| about 1 month ago | 4 months ago | |
| CSS | Go | |
| Creative Commons Zero v1.0 Universal | Business Source License 1.1 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
data-engineering-wiki
Posts with mentions or reviews of data-engineering-wiki.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-17.
- Data Engineering Glossary
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ETL practice
My suggestions: 1. Browse https://dataengineering.wiki/ and overall go over r/dataengineering 2. In mid-sized companies, the trend is to outsource Extract and Load to providers like Fivetran or Airbyte (open-source). Then Transform it with dbt in a data warehouse with SQL. 3. In big companies, you won't touch much ETL design. Just need to be proficient in Python / Spark / SQL... 4. Make sure you know what a star schema, fact tables, and dimension tables are.
- Anything else to read
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Looking for blogs for backend development
Hi everyone! As mentioned in title I recently came across great blogs for data engineering: startdataengineering.com and dataengineering.wiki
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DE- How to get my foot in the door?
The data engineering subreddit maintains a wiki of advice, resources, and recommendations at https://dataengineering.wiki/. Your question is answered in their FAQ here
- Getting into Data Engineering and more!
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Are there avenues into sports science as a software engineer or web dev?
Data engineering
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Switching to something more technical
r/dataengineering has a wiki at https://dataengineering.wiki and also a Discord server which is pretty active.
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Data Engineering Concepts: Definitions, Backlinks, and Graph View
Almost the same as the wiki https://dataengineering.wiki/
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dataengineering.wiki Bug
Hi, would you mind opening an issue on GitHub? We can help you debug the issue there.
Dataplane
Posts with mentions or reviews of Dataplane.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-03.
-
Airflow VS dataplane - a user suggested alternative
2 projects | 3 May 2022
Dataplane is an Airflow inspired data platform to automate, schedule and design data pipelines and workflows written in Golang.
What are some alternatives?
When comparing data-engineering-wiki and Dataplane you can also consider the following projects:
glossary - Data Glossary 🧠: An interactive digital garden for deeper data exploration. Learn through a graph and backlinks, enabling layered knowledge discovery.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.
dagu - Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.