Creating a Lakehouse on AWS
Learn to build a Lakehouse on AWS, combining data lake affordability with data warehouse performance. Discover integration with AWS services and real-world examples of high-performance, cost-effective analytics solutions.
AWS EMR Demystified - Part 4
Master AWS EMR's core components, from networking and storage to running PySpark jobs, while exploring integration with AWS Glue and Athena for effective big data processing and transformation.
AWS EMR Demystified - Part 3
Master AWS EMR's integration with Glue, Athena, and PySpark while learning essential data transformation techniques and architectural considerations for optimizing your data lake implementation.
AWS EMR, Hadoop, and Data Lake Architecture - Part 2
Master AWS EMR's core components, including networking, storage types, and integration with AWS Glue and Athena. Learn to execute PySpark jobs and understand data transformation challenges in EMR-based data lakes.
Analytics on AWS
Explore AWS analytics services like Data Migration, S3, Athena, and QuickSight. Learn to build cloud-based analytics solutions using Amazon's infrastructure, platform, and software services.
Reddit Data Pipeline Engineering with AWS - End-to-End Data Engineering
Build a comprehensive Reddit data pipeline using AWS services, integrating Airflow, S3, Glue, Athena, and Redshift for efficient ETL processes and analytics.