Snowflake Sample Code: Master Data Warehousing with Python and SQL

In the evolving landscape of cloud data platforms, Snowflake stands out for its seamless scalability and powerful analytics. Harnessing its full potential starts with hands-on sample code that brings data workflows to life.

Snowflake Sample Code for Loading Data from CSV

A foundational Snowflake sample code demonstrates loading structured data from CSV files using COPY INTO. This approach enables fast ingestion with minimal setup, making it ideal for initial data loading and early-stage analysis.

CREATE OR REPLACE TABLESPACE public;
CREATE TABLE source_data (
id INT,
name STRING,
created_at DATE
);

COPY INTO public.source_data FROM '/data/raw/source_data.csv' WITH (FORMAT = CSV, DELIMITER = ',');

This simple yet effective snippet sets the stage for robust data pipelines in Snowflake.

Automating ETL with Python and Snowflake

Combine Snowflake’s cloud capabilities with Python for dynamic ETL workflows. Leverage Pandas and Snowflake connectors to transform and load data programmatically, ensuring clean, actionable insights.

```python
def load_data_to_snowflake():
import snowflake.connector
conn = snowflake.connector.connect(
user='your_user',
password='your_password',
account='your_account',
warehouse='your_warehouse',
database='your_db'
)
source_df = pd.read_csv('/data/raw/source_data.csv')
source_df.to_snowsnowflake('public', 'source_data', if_exists='append')
conn.close()

This Python sample illustrates seamless integration between data sources and Snowflake for scalable data processing.

Querying Snowflake with Realistic Sample Code

Once data is loaded, querying becomes intuitive. Use standard SQL with Snowflake’s powerful syntax to derive meaningful insights
a narrative around your business metrics.

```sql
SELECT name, created_at, COUNT(*) AS record_count
FROM public.source_data
WHERE created_at >= '2023-01-01'
GROUP BY name, created_at
ORDER BY created_at DESC;

This Snowflake sample code enables time-based analysis, essential for tracking trends and performance over time.

Mastering Snowflake starts with practical sample code that bridges theory and real-world application. Whether loading data, automating ETL, or querying insights, these examples empower data teams to build efficient, scalable solutions. Begin your Snowflake journey today with hands-on coding and unlock the full potential of cloud data warehousing.

The Examples section includes an example of sampling the result of a join. Both the LIMIT clause and the SAMPLE clause return a subset of rows from a table. When you use the LIMIT clause, Snowflake returns the specified number of rows in the fastest way possible.

This repository contains a collection of Snowflake sample code. Some samples are SQL snippets, some are sample datasets, others are python applications using snowpark - anything is fair game to be a Snowflake sample! Browse the samples directory for a complete listing of all samples and checkout the readme file for each to about each sample. All subdirectories here contain the.

Repositories sf-samples Public Sample files, code snippets and downloads for Snowflake labs and tutorials. Getting Started Sample Data Sample Data Sets Snowflake provides sample data sets, such as the industry-standard TPC-DS and TPC-H benchmarks, for evaluating and testing a broad range of Snowflake's SQL support. Developer Snowflake Scripting Developer Guide Examples for common use cases of Snowflake Scripting Examples for common use cases of Snowflake Scripting You can write anonymous blocks and stored procedures that use Snowflake Scripting language elements, data types, and variables for solutions that address common use cases.

Snowflake Notebook Demos Snowflake Notebooks is your familiar, interactive development environment to perform Data Science, Data Engineering, and AI/ML workloads end-to-end in Snowflake. Write Python & SQL in the same interface. This repo contains a collection of Snowflake Notebook demos, tutorials, and examples.

Developer Snowflake Scripting Developer Guide Snowflake Scripting Developer Guide Snowflake Scripting is an extension to Snowflake SQL that adds support for procedural logic. You can use Snowflake Scripting syntax in stored procedures and user-defined functions (UDFs). Streamlit in Snowflake Demos This repo contains a collection of Streamlit in Snowflake demos, tutorials, and examples.

Browse each folder to access the files associated with each demo. Reference the fully-qualified name of the table in your query (in the form of snowflake_sample_data. schema_name.

object_name). OR Specify the sample database (and schema) for your session using the USE DATABASE and/or USE SCHEMA commands. The following two examples illustrate using both approaches to query the lineitem table in the tpch_sf1.