Cloud Data Engineering Essentials

This module introduces fundamental methodologies in data engineering, covering the implications of Moore's Law's end on computing, concurrency in Python, and specialized hardware solutions like CUDA and ASICs. It explores distributed systems concepts, debugging techniques, and big data processing platforms including Google BigQuery and AWS solutions. The module also covers data lakes and transformation techniques using Databricks Spark SQL, providing a comprehensive foundation in modern data engineering methodologies.

This module focuses on core principles of data engineering, examining data-driven organizational approaches and comparing batch, streaming, and event-based data processing methods. It covers practical skills in building command-line tools with Click and containerization, exploring the integration of Rust with Python, and implementing encryption techniques. The module also addresses advanced testing methodologies using Amazon CodeGuru and AWS CodeBuild, along with leveraging AWS CodeWhisperer for CLI and SDK development.

This module explores the development of efficient data engineering pipelines with a focus on serverless architectures. It covers pipeline automation strategies, core serverless concepts, and implementation using AWS Lambda. Students learn to build complete serverless data pipelines and apply best practices across both AWS and GCP environments. The module also addresses critical data governance principles, including the principle of least privilege, cloud security implementation with AWS IAM, and proper encryption practices for data at rest and in transit.

This module focuses on practical implementation of essential data engineering tasks, starting with Extract, Transform, Load (ETL) processes on AWS platforms. It covers data ingestion and preparation techniques, utilizing Amazon Athena with AWS Glue, and addressing common ETL challenges. The module also explores cloud database technologies, with emphasis on MySQL implementation and BigQuery integration with prompt engineering. Additionally, it provides comprehensive coverage of cloud storage solutions, including deep dives into storage architectures and practical usage of Amazon S3.