🚕 Taxi Data Analytics | Data Engineering Using Mage.ai and AWS -2024
In this step-by-step tutorial, we'll walk you through the entire process, making it easy for both beginners and experienced data engineers to follow along.
📁 AWS S3 Bucket Setup:
Learn how to create your own Amazon S3 bucket, a secure and scalable cloud storage solution. We'll cover bucket naming conventions, region selection, and setting up access permissions to ensure data integrity and privacy.
📤 Upload a CSV File to S3:
Follow our simple instructions on uploading your CSV file to the AWS S3 bucket. Understand best practices for organizing and structuring data within the bucket for optimal data management.
⚙️ Transform Data with mage.ai Orchestration:
Discover the powerful capabilities of mage.ai's data orchestration tools, which make data extraction, transformation, and loading (ETL) a breeze. Seamlessly connect to your S3 bucket and perform data transformations using Python, SQL, or other familiar languages.
🚀 Load Transformed Data to Your Data Warehouse:
We'll guide you through the process of connecting your desired data warehouse, such as AWS Redshift, Google BigQuery, Snowflake, or Azure Synapse Analytics, to mage.ai. Learn how to load the transformed data efficiently and effectively.
📊 Data Analytics and Insights:
With your data now stored in your data warehouse, explore how to gain valuable insights and perform advanced analytics using popular BI tools like Tableau, Power BI, or Looker.
🔄 Automate Data Workflows:
Unleash the full potential of mage.ai by automating your data workflows. Schedule data transformations and updates to keep your data fresh and up-to-date, all with minimal manual intervention.
Whether you're a data analyst, engineer, or business owner looking to harness the true potential of your data, this tutorial has something valuable for everyone.
🔗 Access the Resources:
All the scripts and code used in this tutorial are available in our GitHub repository, making it convenient for you to follow along and replicate the process.
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Let's dive in and unlock the full potential of your data with AWS S3, mage.ai, and your preferred data warehouse! Happy data orchestrating! 🌟
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