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Answer: The ability to support batch and streaming workloads
Delta Lake is a key component of the Databricks Lakehouse Platform and provides several benefits, one of which is its ability to support both batch and streaming workloads seamlessly. Delta Lake allows data engineers and data scientists to work with structured and semi-structured data in both batch and real-time streaming processing scenarios. It provides ACID transactions and schema enforcement for these workloads, ensuring data quality and consistency. **Key Points:** - Delta Lake unifies batch and streaming data processing - Provides ACID transactions for data reliability - Supports schema enforcement and evolution - Enables time travel capabilities for data versioning - Optimizes performance through data skipping and Z-ordering - This is a core feature that distinguishes Delta Lake from traditional data lake solutions
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