Bleepx Pipeline Canvas
Extract data from Kaggle or data.world, analyze it with SQL and Python, then ship the final CSV to the AWS S3 sandbox.
Bronze
Extract
Silver
SQL
Gold
Python
Gold
CSV
Load
S3
Load a Project
Pick a SQLverse lab, a data.world dataset, or a carbon-credit / regenerative agriculture ML project. It pre-fills the source URL, SQL, Python, and S3 destination.
1. Extract
Paste a Kaggle or data.world dataset URL, then paste a sample CSV (or use the buttons below for quick samples).
2. SQL Analysis
Your query runs against the CSV you pasted above. Try changing it, then run again — the result is real.
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3. Python ETL
Python transforms the chosen data source and produces the final CSV. Pick the source that best fits your analysis.
No SQL result yet — code is using the raw CSV columns until you run SQL.
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4. Load to S3 Sandbox
This is the final step: the Gold-layer CSV is written to the AWS S3 sandbox bucket and key below.
Data pipelines are the glue between BleepxQuery, BleepxLab, and BleepxCloud.