Different Ways to Load Data into Snowflake

Loading data into Snowflake can be done using several methods depending on the source, format, size, and frequency of data. Here's a comprehensive breakdown:


🚀 1. Snowflake Web UI (Snowsight)

Best for: Small, manual uploads.


Drag and drop files (CSV, JSON, Parquet, etc.)


Creates an internal stage and loads data into a table.


GUI-based, no code needed.


🗃️ 2. Using SnowSQL (CLI)

Best for: Automating via scripts or command line.


Steps:


Upload to a stage (internal or external):


bash

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snowsql -q "PUT file://path/to/file.csv @my_stage"

Load into table:


bash

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snowsql -q "COPY INTO my_table FROM @my_stage FILE_FORMAT = (TYPE = CSV)"

🌐 3. Using External Stages (S3, Azure Blob, GCS)

Best for: Cloud-based, large-scale, automated loads.


Define external stage:


sql

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CREATE STAGE my_s3_stage

URL='s3://my-bucket/data/'

CREDENTIALS=(AWS_KEY_ID='xxx' AWS_SECRET_KEY='xxx');

Load:


sql

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COPY INTO my_table FROM @my_s3_stage FILE_FORMAT = (TYPE = CSV);

🔁 4. Snowpipe (Continuous Ingestion)

Best for: Real-time or near real-time loading.


Automatically loads files as soon as they appear in a stage.


Can integrate with cloud storage event notifications.


Define a pipe:


sql

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CREATE PIPE my_pipe AS

COPY INTO my_table FROM @my_stage FILE_FORMAT = (TYPE = JSON);

🧪 5. Snowflake Connector for Python / Other SDKs

Best for: Programmatic loading.


Using Python:


python

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import snowflake.connector


conn = snowflake.connector.connect(...)

cursor = conn.cursor()

cursor.execute("PUT file://path.csv @my_stage")

cursor.execute("COPY INTO my_table FROM @my_stage FILE_FORMAT=(TYPE=CSV)")

📡 6. Third-Party ETL Tools

Best for: Complex workflows, transformation, scheduling.


Popular tools:


Fivetran


Stitch


Talend


Informatica


Matillion


dbt (for transformations post-load)


🧰 7. Snowflake Data Marketplace & Shares

Best for: Loading external or shared datasets.


Consume shared datasets directly without data movement.


Use CREATE DATABASE FROM SHARE to access shared data.


🧾 8. Data Loading via SQL Scripts

Use COPY INTO, INSERT INTO, or MERGE for batch inserts or transformations post-load.

Learn  Data Engineering Snowflake course

Read More

Data Loading in Snowflake

A Step-by-Step Guide to Creating Tables in Snowflake

Snowflake’s Virtual Warehouses Explained

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