The visual ETL platform that bridges the gap between chaos and clarity. Build complex Map-Reduce pipelines with simple visuals and powerful Python code.
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Abstract away complexity. Nest flows within flows using Map nodes to process data lists efficiently. Manage scale with ease.
Don't limit yourself to GUI. Write full Pandas transformations and aggregations directly in Reduce nodes.
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DataFlow gives you the best of both worlds. Build complex logic in Python or SQL, wrap it in a reusable node, and let your analysts connect the dots.
def transform(df):
# Full DataFrame Power
if df.empty: return df
# Group By and Aggregate
result = df.groupby('currency').agg({
'latest_close': 'sum',
'ticker': 'count'
}).reset_index()
return result