Amazon DynamoDB January 2016 Day at the SF Loft | Build a Location-Aware Recommendation Engine
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Опубликовано 22 марта 2016, 16:18
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Recommendation engines help your prospects and customers find the most relevant offers and content. In this presentation, you will learn how to use AWS building blocks to build your own location-aware recommendation engine. You’ll see how to store real-time events using Amazon Kinesis and Amazon DynamoDB. See how to easily move data into Amazon Redshift using Kinesis Firehose.
As your site or app rises in popularity, you’ll need to track a wider variety of events and scale to handle traffic and usage spikes. Learn architectural patterns for processing large datasets and high-request volume applications. This is a very in-depth, technical session, walking through working code samples and architectures.
Recommendation engines help your prospects and customers find the most relevant offers and content. In this presentation, you will learn how to use AWS building blocks to build your own location-aware recommendation engine. You’ll see how to store real-time events using Amazon Kinesis and Amazon DynamoDB. See how to easily move data into Amazon Redshift using Kinesis Firehose.
As your site or app rises in popularity, you’ll need to track a wider variety of events and scale to handle traffic and usage spikes. Learn architectural patterns for processing large datasets and high-request volume applications. This is a very in-depth, technical session, walking through working code samples and architectures.
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