Data Engineering Associate with Databricks Practice Exam

Which benefit is unique to a data lakehouse compared to a traditional data warehouse?

1. Real-time reporting

2. Support for batch and streaming analytics

3. Data integrity checks

4. User-friendly interface

The correct answer is: Support for batch and streaming analytics

The unique benefit of a data lakehouse compared to a traditional data warehouse lies in its ability to support batch and streaming analytics. Data lakehouses blend the characteristics of data lakes and data warehouses, allowing teams to store large volumes of diverse data types and formats while also providing features that enable both batch processing and real-time analytics. This flexibility is key for organizations that require timely insights from both historical and live data streams. In contrast, traditional data warehouses typically focus primarily on structured data stored in a predetermined schema, which can limit their ability to efficiently handle real-time data. They often excel in batch analytics but may not provide the seamless integration necessary for processing live data as effectively as data lakehouses can. As a result, the capacity of a data lakehouse to handle both batch and streaming analytics stands out as a significant advantage in today's data-driven environments.