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Study mode:
on
1
intro
2
preamble
3
capitalone
4
agenda
5
loyalty use case in capitalone
6
filtering the data approach
7
filtering approach example
8
issues with filtering approach
9
enriching the data approach
10
enriching approach example
11
advantage of enriching over filtering
12
conclusion
13
about gokul
14
thank you!
Description:
Explore a conference talk that delves into the comparison between enriching data and filtering in Apache Spark. Learn about a loyalty use case at Capital One and discover the advantages and disadvantages of both approaches. Understand the issues with the filtering approach and how enriching data can provide a more efficient solution. Gain insights into practical examples of both methods and their implementation in Spark. Conclude with a summary of the key takeaways and learn about the speaker's background in data engineering.

Enriching the Data vs Filtering in Apache Spark

Conf42
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