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👋
Welcome to the Rockset-Confluent workshop
Preface
Workshop Introduction
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Rockset Pairs with Kafka for Real-Time Analytics
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Build a Real-Time Recommendation & Customer 360 Application
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Workshop pre-reqs
Workshop Part I: Build a real-time recommendation and other analytical queries
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Rockset account setup
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Populate Rockset collections with Kafka and S3 data
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Write analytical queries
Write a real-time recommendation query
Return the customer's last purchase
Return the customer's latest activities after their last purchase
Find previous purchases that contain the customer's items
Aggregate all the purchases
Filter results so it doesn't contain the product of interest
Identify the product ID with the product name
Create a Query Lambda
Wrap up on real-time recommendation query
Display all users who created an account
Return a customer's previous purchase
Return the total and average customer spend
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Create an API key
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Analytical query wrap up
Workshop Part II: Build a customer 360 app on Retool
Create real-time internal tools with Retool
Retool account setup
Create resource queries
Create a customer 360 app
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Write a real-time recommendation query
In this section, we're going to slowly build a real-time recommendation query in a series of steps.
NOTE: You can find us on the
Rockset Community
if you have questions or comments about the workshop.
Workshop Part I: Build a real-time recommendation and other analytical queries - Previous
Write analytical queries
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Return the customer's last purchase
Last modified
1yr ago