The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Data-engineering-wiki Alternatives
Similar projects and alternatives to data-engineering-wiki
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quartz
🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites (by jackyzha0)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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glossary
Data Glossary 🧠: An interactive digital garden for deeper data exploration. Learn through a graph and backlinks, enabling layered knowledge discovery. (by airbytehq)
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Dataplane
Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
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sayn
Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).
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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
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better data-engineering-wiki alternative or higher similarity.
data-engineering-wiki reviews and mentions
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.
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A note from our sponsor - WorkOS
workos.com | 30 Apr 2024
Stats
Basic data-engineering-wiki repo stats
15
1,031
7.5
about 1 month ago
data-engineering-community/data-engineering-wiki is an open source project licensed under Creative Commons Zero v1.0 Universal which is not an OSI approved license.
The primary programming language of data-engineering-wiki is CSS.
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