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Answer: The ability to support batch and streaming workloads
Delta Lake, as part of the Databricks Lakehouse Platform, provides the ability to support both batch and streaming workloads. Delta Lake is a storage layer that brings ACID transactions to Apache Spark and big data workloads. It enables: 1. **Unified batch and streaming**: Delta Lake tables can serve as both batch tables and streaming sources/sinks 2. **ACID transactions**: Ensures data integrity with atomicity, consistency, isolation, and durability 3. **Schema enforcement and evolution**: Prevents bad data from being written and allows schema changes 4. **Time travel**: Enables data versioning and rollbacks While other options may be features of the broader Databricks platform, the specific benefit of supporting both batch and streaming workloads is a core feature provided by Delta Lake itself.
Author: Keng Suppaseth
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Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
A
The ability to manipulate the same data using a variety of languages
B
The ability to collaborate in real time on a single notebook
C
The ability to set up alerts for query failures
D
The ability to support batch and streaming workloads
E
The ability to distribute complex data operations