Data Pipelines With Snowflake And Streamlit
Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Using Snowflake to data engineer Kaggle and Google Trends data with Python procedures and tasks
What you’ll learn
Setup Snowflake and AWS Accounts
Work with Kaggle and SerpAPI
Download and manipulate data with Jupyter Notebooks on VS Code
Work with External Access Integration and Storage Integration on Snowflake
Create Snowflake Python based procedures
Create Snowflake tasks
Create Streamlit apps inside of Snowflake
Requirements
Proficient knowledge on SQL and basic knowledge on Snowflake database
Basic knowledge on data modeling and engineering
Proficient Python knowledge
Description
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Snowflake Setup – 1
Lecture 3 Snowflake Setup – 2
Lecture 4 External Access Integration Request
Lecture 5 Kaggle Setup
Lecture 6 SerpAPI Setup
Lecture 7 VS Code Setup
Lecture 8 AWS Account Setup
Section 3: Sample download code
Lecture 9 Kaggle download script – 1
Lecture 10 Kaggle download script – 2
Lecture 11 SerpAPI download script – 1
Lecture 12 SerpAPI download script – 2
Lecture 13 Snowflake EAI request completion
Section 5: Database preparation
Lecture 14 Database preparation – 1
Lecture 15 Database preparation – 2
Section 6: Kaggle Python procedure
Lecture 16 Kaggle Python procedure – 1
Lecture 17 Kaggle Python procedure – 2
Lecture 18 Kaggle Python procedure – 3
Section 7: SerpAPI Python procedure
Lecture 19 SerpAPI Python procedure – 1
Lecture 20 SerpAPI Python procedure – 2
Lecture 21 SerpAPI Python procedure – 3
Lecture 22 SerpAPI Python procedure – 4
Section 8: Task design and DWH layer
Lecture 23 Task design – 1
Lecture 24 Task design – 2
Lecture 25 DWH design – 1
Lecture 26 DWH design – 2
Section 9: Streamlit app
Lecture 27 Streamlit app – 1
Lecture 28 Streamlit app – 2
Section 10: Pipeline enhancements
Lecture 29 Improvements summary
Lecture 30 Kaggle procedure update
Lecture 31 SerpAPI procedure update – 1
Lecture 32 SerpAPI procedure update – 2
Lecture 33 SerpAPI procedure update – 3
Lecture 34 SerpAPI procedure update – 4
Lecture 35 SerpAPI procedure update – 5
Lecture 36 SerpAPI procedure update – 6
Lecture 37 SerpAPI procedure update – 7
Lecture 38 SerpAPI procedure update – 8
Section 11: Conclusion
Lecture 39 Conclusion
Lecture 40 Course content
Data Engineers looking to get proficient on Snowflake and Streamlit for building data pipelines
