Which harmonization method describes a case where a number of data streams with matching keys pour into one data pool?

The correct choice describes a scenario where multiple data streams that share matching keys are combined into a single data pool, utilizing a hierarchical approach. This method allows for the organization of data in a parent-child structure, where the parent data set represents a broader category or summary, while each child data set contains more specific details or subsets of that data.

In this harmonization method, the ability to aggregate data points from various sources helps in creating a comprehensive view that highlights relationships and hierarchies within the data sets. This method is particularly useful in situations where it is important to maintain the connections between general and specific data, thus enabling better analysis and insights.

The other choices pertain to different ways of managing and interpreting data:

• Patterns refer to analytical methods used to recognize trends and correlations in the data, rather than a structure of combining data streams.

• Custom Classification involves tagging or categorizing data in a way that is tailored to specific business needs, focusing on organization rather than harmonization.

• Data Fusion typically refers to the merging of data from different sources to produce more consistent, accurate, and useful information, but it does not specifically involve the parent-child hierarchical relationship illustrated in the correct answer choice.

Overall, the parent-child harmonization method emphasizes the relationship