Diving into the realm of Data Analytics & Gen AI with AWS
This blog explores insights gained from a recent workshop on AWS technologies for data analytics and generative AI. The first half provided a high-level overview of AWS's data stack, focusing on key areas such as data storage, governance, processing, and AI integration. Tools like Amazon Aurora, DynamoDB, Glue, and SageMaker were highlighted for their roles in building a robust data foundation. The second half transitioned into hands-on experience with AWS Glue, Amazon Athena, and QuickSight. Participants learned to catalog and transform data with Glue, query datasets using Athena, and create interactive visualizations in QuickSight. This combination of theoretical knowledge and practical application showcased how AWS tools can empower data analysts to drive data-driven insights and innovations in their careers.
