A data architect is designing a data model that works for both video-based machine learning workloads and highly audited batch ETL/ELT workloads. Which of the following describes how using a data lakehouse can help the data architect meet the needs of both workloads?
a) By providing a unified storage and compute layer
b) By enforcing strict schema-on-write policies
c) By optimizing for real-time data processing
d) By integrating with proprietary machine learning frameworks