Data Lakehouse
A Data Lakehouse is a modern data architecture that combines the flexibility and cost-effectiveness of a data lake with the reliability and performance of a data warehouse. It enables organizations to store vast amounts of raw, structured, and unstructured data in a centralized repository while supporting ACID transactions, schema enforcement, and efficient querying for analytics and machine learning. This hybrid approach aims to eliminate the traditional separation between data lakes and data warehouses, providing a unified platform for data storage and processing.
Developers should learn and use Data Lakehouse when building scalable data platforms that require both large-scale data ingestion from diverse sources and high-performance analytics, such as in real-time business intelligence, AI/ML model training, or data-driven applications. It is particularly valuable in cloud environments where cost optimization and data governance are critical, as it reduces data silos and simplifies ETL/ELT pipelines by avoiding the need to maintain separate lake and warehouse systems.