AWS Database Services
Explore AWS Database Services: RDS, Redshift, Aurora, DynamoDB, Kinesis, and ElastiCache. Learn their features, use cases, and hands-on experience with RDS in this comprehensive overview.
Amazon AppFlow
Securely transfer data between SaaS apps and AWS services without coding. Learn to integrate Salesforce, Google Analytics, Slack, Zendesk, and more with AWS, including ML and automation features.
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.
Navigate Your Big Data Journey with AWS Big Data Services
Comprehensive guide to AWS big data services, covering data ingestion, warehousing, analysis, and visualization using tools like Jupyter notebooks and Amazon Redshift for effective data lifecycle management.
Amazon Redshift Data Warehouse System - Lecture 22
Explore Amazon Redshift's architecture, design principles, and performance optimizations for large-scale data warehousing in this advanced database systems lecture.
Building Your First Petabyte-Scale Architecture - Part 1
Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.
Building Your First Petabyte-Scale Architecture - Part 2
Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.
Building Your First Petabyte-Scale Architecture - Part 3
Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.
Building Your First Petabyte-Scale Architecture - Part 4
Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.
Amazon Redshift Internals - Lecture 24
Explore Amazon Redshift's architecture, design principles, and performance optimizations with insights from a guest lecturer and former CMU PhD graduate.
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.