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Master Snowflake Data Pipelines: Build with Python & Streamlit

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5:17:27

  • 1 -Introduction.mp4
    00:43
  • 1 -Snowflake Setup - 1.mp4
    01:29
  • 2 -Snowflake Setup - 2.mp4
    06:39
  • 3 -Kaggle Setup.mp4
    02:09
  • 3 -screenshot 1.zip
  • 3 -screenshot 2.zip
  • 3 - External Access Integration Request.html
  • 4 -SerpAPI Setup.mp4
    02:32
  • 5 -VS Code Setup.mp4
    11:55
  • 6 -AWS Account Setup.mp4
    01:54
  • 1 -Kaggle download script - 1.mp4
    07:24
  • 2 -Kaggle download script - 2.mp4
    06:12
  • 3 -SerpAPI download script - 1.mp4
    07:10
  • 4 -SerpAPI download script - 2.mp4
    07:59
  • 1 -Snowflake EAI request completion.mp4
    03:20
  • 1 -Database preparation - 1.mp4
    09:56
  • 2 -Database preparation - 2.mp4
    09:50
  • 1 -Kaggle Python procedure - 1.mp4
    12:39
  • 2 -Kaggle Python procedure - 2.mp4
    07:14
  • 3 -Kaggle Python procedure - 3.mp4
    14:42
  • 1 -SerpAPI Python procedure - 1.mp4
    16:38
  • 2 -SerpAPI Python procedure - 2.mp4
    02:12
  • 3 -SerpAPI Python procedure - 3.mp4
    04:21
  • 4 -SerpAPI Python procedure - 4.mp4
    17:29
  • 1 -Task design - 1.mp4
    09:32
  • 2 -Task design - 2.mp4
    12:08
  • 3 -DWH design - 1.mp4
    08:13
  • 4 -DWH design - 2.mp4
    13:39
  • 1 -Streamlit app - 1.mp4
    06:23
  • 2 -Streamlit app - 2.mp4
    04:00
  • 1 -Improvements summary.mp4
    04:27
  • 2 -Kaggle procedure update.mp4
    16:33
  • 3 -SerpAPI procedure update - 1.mp4
    06:13
  • 4 -SerpAPI procedure update - 2.mp4
    06:11
  • 5 -SerpAPI procedure update - 3.mp4
    11:46
  • 6 -SerpAPI procedure update - 4.mp4
    10:18
  • 7 -SerpAPI procedure update - 5.mp4
    08:55
  • 8 -SerpAPI procedure update - 6.mp4
    17:11
  • 9 -SerpAPI procedure update - 7.mp4
    11:56
  • 10 -SerpAPI procedure update - 8.mp4
    11:36
  • 1 -Conclusion.mp4
    03:59
  • 2 -ddl.zip
  • 2 - Course content.html
  • More details


    Course Overview

    Become a Snowflake data engineering expert by building end-to-end data pipelines. Learn to integrate Kaggle and Google Trends data using Python procedures, Snowflake tasks, and interactive Streamlit dashboards.

    What You'll Learn

    • Build Snowflake Python procedures for data processing
    • Create automated data pipelines with Snowflake tasks
    • Develop interactive Streamlit apps within Snowflake

    Who This Is For

    • Data Engineers expanding their Snowflake skills
    • Python developers entering data engineering
    • Analysts building production-grade pipelines

    Key Benefits

    • Hands-on experience with real-world data sources
    • End-to-end pipeline development skills
    • Cloud-native data engineering techniques

    Curriculum Highlights

    1. Snowflake & AWS setup configuration
    2. Python procedures for data ingestion
    3. Streamlit dashboard development
    Focused display
    • language english
    • Training sessions 38
    • duration 5:17:27
    • Release Date 2025/05/10