Copy Into command to transfer file data from Amazon S3 to Snowflake 🚀
🚀 Learn how to load data from S3 into Snowflake using COPY INTO (Step-by-Step Guide)
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Hey everyone 👋
Welcome to Data with Vivek, in this video, we break down how data engineers move data from Amazon S3 to Snowflake using the powerful COPY INTO command.
Whether you’re new to data engineering or preparing for interviews, this video will help you understand the real-world ETL/ELT data loading process in a simple way.
🧠 What You’ll Learn
00:00 Intro & What You'll Learn
00:48 What is COPY INTO? (Simple Explanation)
01:53 ETL vs ELT in Real World
02:45 Storage Integration (Secure S3 Access)
05:56 Inspecting Integration (DESC)
07:12 IAM Trust Relationship Setup
09:11 Stage Explained (S3 Connection)
10:18 Verifying Files in Stage
10:58 File Format (How Snowflake Reads Data)
12:55 Table Creation + Data Preview
16:32 COPY INTO (Full Demo)
19:16 Why COPY INTO is Powerful 🚀
🛠️ Tech Used
☁️ Amazon S3
❄️ Snowflake
🧾 CSV + GZIP files
🔐 IAM Roles
🔄 ETL / ELT Explained
This video focuses on the Load phase of ETL/ELT pipelines, where data is moved from cloud storage into a data warehouse.
🎯 Who is this for?
👨💻 Beginners in Data Engineering
📊 Anyone learning Snowflake
🎓 Students preparing for interviews
🚀 Developers exploring cloud data pipelines
💡 Key Takeaway
COPY INTO is one of the most important commands in Snowflake for bulk data loading, and understanding it is essential for building real-world data pipelines.