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Building an Automated Sales Data Processing and Visualization Pipeline on AWS

Overview

In this hands-on workshop, you will build a serverless data pipeline using AWS services, from ingesting raw CSV files to visualizing clean data through QuickSight. You will also automate the process using Lambda and secure your solution with IAM & CloudTrail.

Technologies Used

  • Amazon S3 – Store raw and processed files
  • AWS Glue Crawler – Catalog CSV structure
  • AWS Glue Job – Clean and transform data
  • Amazon Athena – Query processed data
  • Amazon QuickSight – Visualize insights
  • AWS Lambda – Automate data flow
  • AWS CloudTrail – Track actions & monitor

Pipeline Flow

Pipeline Architecture

Workshop Goals

  • Understand serverless data architecture on AWS
  • Clean and enrich raw data using Glue
  • Query data with Athena
  • Build dashboards in QuickSight
  • Automate with Lambda
  • Monitor activity using CloudTrail

Main Content

  1. Introduction to Pipeline Concepts
  2. Prepare AWS Environment
  3. Crawl Raw Data
  4. Clean Data with Glue Job
  5. Catalog Processed Data
  6. Query with Athena
  7. Automate Flow with Lambda
  8. Visualize in QuickSight
  9. Clean Up AWS Resources