Are you looking to build real-world experience using Amazon Athena, AWS Lambda, S3, and EventBridge to automate data analysis? You’ve come to the right place! In this step-by-step tutorial, I will guide you through creating an automated pipeline that analyzes

What You’ll Learn in This Video: 

 - How to set up Amazon S3 to store your data files. 

 - Configuring Amazon Athena to run SQL queries directly on data stored in S3. 

 - Using AWS Lambda to automate the execution of data analysis tasks. 

 - Scheduling daily tasks with Amazon EventBridge for seamless automation. 

 - Downloadable scripts and source code to practice in your own AWS account. 

Why This Tutorial? 

Amazon Athena, with its serverless architecture, makes querying data fast and cost-effective. Pairing it with AWS Lambda and EventBridge means you can set up a fully automated data analysis process that runs daily, freeing you from manual tasks and providing fresh insights effortlessly. 

Download the Code: Access the scripts and resources in our GitHub repo to follow along and practice: https://github.com/iaasacademy/aws-how-to-guide/tree/main/athena-and-lambda-project 

Build Your Portfolio and excel at Job Interviews: 

By following this guide, you’ll not only gain a comprehensive understanding of how to set up an automated, real-world data analysis pipeline but also create a project that you can showcase in your professional portfolio. This project can be a standout addition during job interviews, demonstrating your hands-on AWS skills and your ability to build practical, scalable solutions. 

Perfect for: 

 - Cloud practitioners and developers looking to expand their AWS expertise. 

 - Anyone preparing for AWS certifications and seeking practical examples. 

 - Data engineers who want to automate their analysis workflows. 

 - Job seekers wanting to strengthen their project portfolios for interviews.