Explanation:
For real-time analytics in an e-commerce platform, leveraging Delta Lake's streaming capabilities is ideal. This involves setting up a continuous data ingestion pipeline that feeds into Delta tables, allowing for real-time updates and immediate availability of fresh data for analytics. This approach ensures that insights are based on the most current customer behavior.
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Consider a large-scale e-commerce platform that requires real-time analytics on customer behavior. How would you design a streaming data pipeline using Delta Lake to handle high volumes of data and ensure timely and accurate analytics?
A
Use traditional batch processing for data ingestion and transformation.
B
Implement a hybrid approach with both batch and streaming processing for different data types.
C
Leverage Delta Lake's streaming capabilities for continuous data ingestion and real-time updates to analytics tables.
D
Store all data in a single large table for simplicity in querying.