Question 1 of 30
In a retail company, the data science team is tasked with analyzing customer purchase behavior to enhance marketing strategies. They have access to a large dataset that includes transaction records, customer demographics, and online browsing history. Given the nature of this data, which approach would be most effective for extracting meaningful insights and patterns from this Big Data?
Utilize a distributed computing framework to process the data in parallel, allowing for efficient analysis of large volumes of diverse data types.
Conduct a manual analysis of a small sample of the data to identify trends, then apply those findings to the entire dataset.
Use a traditional relational database management system to store and query the data, focusing on structured data only.
Implement a simple spreadsheet solution to track and analyze customer behavior based on selected metrics.

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