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Workshop: From Buckets to Insights – Building a Serverless Data Lake on AWS

Information

  • Time: 14:55 - 15:55
  • Level: Intermediate
  • Target Audience: DevOps engineers, data engineers, and cloud architects who want to design data platforms that scale without operational overhead. Also suitable for developers looking to strengthen their AWS data engineering and analytical skills

Speakers

  • The proposed workshop is designed to address the needs of data engineers, and cloud architects seeking to build scalable, low-maintenance data platforms. Through hands-on exercises, participants will explore how to design and implement a serverless data lake on AWS using core services such as Amazon S3, AWS Glue, and Amazon Athena Participants will gain both the architectural understanding and the practical skills required to design, implement, and query a fully functional serverless data lake — from ingestion and cataloging to querying. By the end of the workshop, attendees will have built a working prototype and be equipped to apply these techniques in their own environments to accelerate data-driven decision-making.

What will you learn

Design and deploy a serverless data lake architecture using AWS services
Ingest and organize raw data efficiently using Amazon S3
Perform schema discovery and metadata management with AWS Glue
Query large-scale datasets seamlessly with Amazon Athena

Prerequisites

Laptop with internet access. Familiarity with AWS basics (IAM, S3). Basic Python and SQL knowledge

Deliverables Schedule

A fully functional serverless data lake prototype built during the workshop. The presentation slides and hands-on lab instructions. Sample datasets and reference code snippets for later experimentation.