Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...
End-to-end mini lakehouse for Nginx access logs. Pipeline: raw logs → Pandas ETL → partitioned Parquet → DuckDB → dbt models (staging, dimensions, fact) → Prefect orchestration → FastAPI endpoints → ...
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OpenSecrets is a nonpartisan, nonprofit organization dedicated to tracking money in U.S. politics and its influence on elections and public policy. As the nation’s most comprehensive resource for ...
Instead of running Python scripts manually for routine tasks, why not automate them to run on their own, and at the time you want? Windows Task Scheduler lets you schedule tasks to run automatically ...
You have three flexible options for defining your ticker universe: Run the script to auto-fetch the S&P 500: python _2_get_sp500_tickers.py Manually replace the default ticker list in output/Static ...
Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
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