https://github.com/madetech/data-tech-reviews

Repo to share reviews of data technologies and tools
https://github.com/madetech/data-tech-reviews

Last synced: 30 days ago
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Repo to share reviews of data technologies and tools

• Host: GitHub
• URL: https://github.com/madetech/data-tech-reviews
• Owner: madetech
• Created: 2023-02-15T17:30:44.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-12-15T11:55:36.000Z (over 2 years ago)
• Last Synced: 2025-01-25T14:11:40.139Z (over 1 year ago)
• Language: Python
• Size: 2.97 MB
• Stars: 2
• Watchers: 20
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Data Tech Reviews

## Articles

- [Prefect](/articles/prefect/prefect.md) (last reviewed Feb/2023)

- [Apache Iceberg](/articles/iceberg/iceberg.md) (last reviewed Apr/2023)

- [Apache Kafka](/articles/kafka/kafka.md) (last reviewed Dec/2023)

- [Data Lakehouse Architecture](/articles/data_lakehouse_architecture/data_lakehouse_architecture.md)  (last reviewed Feb/2023)

- [DuckDB](/articles/duckdb/duckdb.md)  (last reviewed May/2023)

## Quick Exploration Packs

These are repos with instructions to easily explore the tools.

##### **NOTE: Please be aware that not all examples provided here were created within Made Tech**.

- [Prefect: toy single container example](https://github.com/madetech/prefect_exploration_toy_example)

- [Prefect: multi-container example](https://github.com/fraibacas/prefect-orion)

- [Iceberg: proof-of-concept with Apache Spark & Jupyter frontend](https://github.com/tabular-io/docker-spark-iceberg)

## Collaborating

- For each Tech Review article a subfolder should be created inside the /articles folder (e.g. /articles/prefect).

- Images and other files related to each article should be stored in the article folder.

- Each Quick Exploration Pack should be created as a Github repository of its own and only a link to it should be included in the summary here, this will make it really easy to clone the packs locally and start playing with them