Data Engineering, Data Warehouse, Data Lake, Big Data, Big Data Analytics.
This allowed for efficient storage and processing of data using MapReduce and later, Spark. While data lakes offered advantages such as: Cost-efficient cloud storage. Support for machine learning (ML). Flexible data storage. Streaming data processing. They also came with drawbacks. These included: