164: I built an entire data pipeline in 30 minutes using only AI (no code required)
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Today, we'll create an entire data pipeline from scratch without writing a single line of code! Using Keboola MCP server and ClaudeAI, we’ll extract data from my FindADataJob.com RSS feed, transform it, load it into Google BigQuery, and visualize it with Streamlit. This is the future of data engineering!
Keboola MCP Integration:
https://mcp.connection.us-east4.gcp.keboola.com/sse
I Analyzed Data Analyst Jobs to Find Out What Skills You ACTUALLY Need
https://www.youtube.com/watch?v=lo3VU1srV1E&t=212s
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⌚ TIMESTAMPS
00:00 - Introduction
00:54 - Definition of Basic Data Engineering Terms
02:26 - Keboola MCP and Its Capabilities
07:48 - Extracting Data from RSS Feed
12:43 - Transforming and Cleaning the Data
19:19 - Aggregating and Analyzing Data
23:19 - Scheduling and Automating the Pipeline
25:04 - Visualizing Data with Streamlit
🔗 CONNECT WITH AVERY
🎥 YouTube Channel: https://www.youtube.com/@averysmith
🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/
📸 Instagram: https://instagram.com/datacareerjumpstart
🎵 TikTok: https://www.tiktok.com/@verydata
💻 Website: https://www.datacareerjumpstart.com/
Mentioned in this episode:
✨ Try Julius!
This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP
https://landadatajob.com/Julius-DCP
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