yesmeck/activewarehouse-etl — explained in plain English
Analysis updated 2026-08-04 · repo last pushed 2015-04-28
Consolidate customer data from a legacy database, CSV files, and web server logs into one reporting database.
Clean and standardize date formats and string fields before loading data into a reporting system.
Build a data pipeline that pulls from multiple sources and writes to multiple destinations in a single job.
Write custom Ruby transformation logic when built-in transformations are not enough.
| yesmeck/activewarehouse-etl | 521xueweihan/homebrew-core | amitsuryavanshi/graphiti-activegraph | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Ruby | Ruby | Ruby |
| Last pushed | 2015-04-28 | 2022-05-11 | 2022-12-09 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | moderate | easy | hard |
| Complexity | 3/5 | 1/5 | 3/5 |
| Audience | data | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
The project is no longer maintained and documentation is sparse and outdated, so expect to read source code to get a working example.
ActiveWarehouse-ETL is a Ruby tool for moving data from one place to another while reshaping it along the way. Think of it as a pipeline: you have raw data sitting in a CSV file, an XML file, or a database, and you need it cleaned, converted, and loaded into a reporting database so your team can actually use it for analysis. That's the problem this project solves. The tool works through a three-stage process: extract, transform, and load. First it pulls data from your sources, which could be text files, XML, Apache log files, or existing databases. Then it applies transformations: converting date formats, cleaning up strings, looking up foreign keys, filling in default values for empty fields, and so on. Finally it writes the results to your destination, whether that's a file or a database. You define these jobs using a Ruby-based syntax, and a single job can pull from multiple sources and write to multiple destinations. This would be useful for a startup that needs to consolidate data from different systems into a single reporting database. For example, you might have customer data spread across a legacy database, some exported CSV files from a third-party tool, and Apache logs from your web server. A data analyst or engineer could use this tool to define a job that pulls from all three sources, standardizes the formats, and loads everything into one database for reporting. One notable thing is the project's flexibility, if a built-in transformation doesn't do what you need, you can write custom Ruby code to handle it. However, the README states clearly that this project is no longer maintained. The documentation is sparse and not fully up to date. It has a long contributor list dating back to 2006, which suggests it was once an active community effort, but anyone considering it today should be aware they'd be working with an unmaintained tool.
A Ruby tool that moves data between sources like CSV files, XML, and databases while cleaning and reshaping it along the way. It follows a three-step process: extract, transform, and load.
Mainly Ruby. The stack also includes Ruby.
Dormant — no commits in 2+ years (last push 2015-04-28).
No license information is provided in the project documentation.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly data.
This repo across BitVibe Labs
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