Joins and Aggregations: SQL Patterns for Data Analysis
Master SQL joins and aggregation techniques for building efficient analytical queries in data warehouses and analytical databases.
Master SQL joins and aggregation techniques for building efficient analytical queries in data warehouses and analytical databases.
Kafka Streams is a client library for real-time stream processing. Learn stream primitives, state stores, exactly-once processing, and scaling.
Learn Kimball dimensional modeling techniques for building efficient star schema data warehouses with fact and dimension tables.
Understand how lakehouse architecture combines the scalability of data lakes with the reliability and performance of data warehouses.
Learn how One Big Table architecture simplifies data pipelines by combining all attributes into single wide denormalized tables.
Learn techniques for identifying, protecting, and managing personally identifiable information across your data platform.
Airflow, Dagster, and Prefect coordinate complex data workflows. Learn orchestration patterns, DAG design, and failure handling.
Learn how Presto and Trino enable federated SQL queries across data lakes, warehouses, databases, and object storage without moving data.
Schema evolution lets pipelines handle changing data structures without breaking consumers. Learn backward and forward compatibility strategies.
Learn how Schema Registry prevents data incompatibilities in distributed systems, supports schema evolution, and enables reliable streaming pipelines.