Udemy – Data Pipelines with Snowflake and Streamlit 2024-9

Description

Data Pipelines with Snowflake and Streamlit course. This course focuses on building a data engineering pipeline that integrates multiple data sources, including the Kaggle dataset and Google Trends data (received via the SerpAPI), to analyze the relationship between Netflix show releases and actor popularity. You’ll learn to collect and synthesize data about Netflix cast members and their trends on Google, especially in the weeks following a show’s release. You’ll use Kaggle as a source for your dataset of Netflix shows and actors, and Google Trends (accessible via the SerpAPI) to get real-time search data for actors. This data will be stored and processed in the Snowflake database, leveraging its cloud-native architecture for optimal scalability and performance. By the end of the course, you’ll have a fully functional data pipeline that processes and combines streaming data, cloud storage, and APIs for trend analysis, visualized through an interactive Streamlit app within Snowflake.

What you will learn in the Data Pipelines with Snowflake and Streamlit course

• Setting up Snowflake and AWS accounts
• Working with Kaggle and SerpAPI
• Download and manipulate data with Jupyter Notebooks on VS Code
• Working with External Access Integration and Storage Integration on Snowflake
• Creating Snowflake Python-based procedures
• Create Snowflake Tasks
• Creating Streamlit apps within Snowflake

This course is suitable for people who

• Data engineers looking to master Snowflake and Streamlit to build data pipelines.

Data Pipelines with Snowflake and Streamlit course specifications

• Publisher:  Udemy
• Lecturer:  Marcos Vinicius Oliveira
• Training level: beginner to advanced
• Training duration: 5 hours and 17 minutes
• Number of courses: 40

Course headings

Data Pipelines with Snowflake and Streamlit course prerequisites

• Proficient knowledge on SQL and basic knowledge on Snowflake database
• Basic knowledge on data modeling and engineering
• Proficient Python knowledge

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 860 MB

File(s) password: www.downloadly.ir

File size

1.8 GB