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Learn how to auto-ingest streaming data into Snowflake using Snowpipe.
AWS S3, Snowflake (Snowpipe, Snowpark) and PowerBi.
SQL Scripts related to my learning on the Snowflake data cloud provider
SQL, Databases, warehouses, Data lake, cloud storage, MYSQL, Data Pipeline
Realtime data pipeline using Kafka + Spark + AWS S3 (Terraform) + Snowflake
Automatically move data from AWS S3 to Snowflake datawarehouse continuously with snowpipe
❄️ Stream real-time data into Snowflake with Amazon Kinesis Firehose
The goal is to build an example of a simple data collection pipeline which collects data from multiple customers and uploads the data to Snowflake could look like. The OpenMeteo Api acts as the "customer system" in this case.
Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.
Spotify ETL pipeline on AWS
Real-time ETL (Extract, Transform, Load) data pipeline to process insurance claims data with Snowflake, Apache Airflow, AWS S3, EC2, python pandas and creating a real time data visualization dashboard using Tableau.
Building a Seamless Data Pipeline with AWS and Snowpipe
Implemented Snowflake project on AWS for efficient data storage and transformation. Utilized JSON-to-CSV conversion, Snowpipe for real-time ingestion, and reader accounts for secure data access. Employed streams, tasks, and materialized views for data synchronization and optimization. Implemented masking policies for enhanced data security.
This project showcases a scalable ETL pipeline that automates the extraction, transformation, and storage of Redfin housing market data using AWS, Apache Airflow, and Snowflake, with Power BI for data visualization. The pipeline is configured to run monthly, ensuring your data remains up-to-date.
Get the streaming data from the S3 bucket with SQS queue. Load into Snowflake with Snowpipe and modify the data with Snowflake task
Analyze real-time global market data using AWS Kinesis and Snowflake. We utilize CSV datasets extracted via API calls, stream them through Kinesis Firehose, and transform them with Snowflake. Our agile workflow ensures efficiency, providing a one stop comprehensive solution for real-time data insights.
ETL with AWS Lambda and Snowflake with automation using Snowpipe.
End-to-End ETL Pipeline for Live Cricket Streaming Data Using AWS (Lambda, Glue, Step Functions, S3), Snowflake, and Power BI for Visualization
Designed a cloud-to-cloud migration pipeline through migrating data with event-driven architecture and automated data loads. Implemented data quality checks at each stage, ensuring data consistency and reliability.