Serverless Data Processing: Building Elastic Pipelines
Build scalable data pipelines using serverless services. Learn how AWS Lambda, Azure Functions, and Cloud Functions integrate for cost-effective processing.
Build scalable data pipelines using serverless services. Learn how AWS Lambda, Azure Functions, and Cloud Functions integrate for cost-effective processing.
Master Slowly Changing Dimension techniques including Type 1, Type 2, and Type 3 for maintaining historical accuracy in data warehouses.
Explore snowflake schema design, where dimension tables are normalized into related sub-tables, reducing redundancy and enabling shared reference data.
Discover why star schema remains the dominant approach for analytical databases, how it enables fast queries, and when to use it versus alternatives.
OLAP vs OLTP comparison. Star and snowflake schemas, fact and dimension tables, slowly changing dimensions, and columnar storage in data warehouses.
Master data engineering with this comprehensive learning path covering data pipelines, ETL/ELT processes, stream processing, data warehousing, and analytics infrastructure.