Amazon DynamoDB April 2016 Day at the NY Loft - Real-time Streaming Data on AWS
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Опубликовано 15 июня 2016, 16:12
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Learn best practices for building a real-time streaming data architecture on AWS with Amazon Kinesis, Spark Streaming, AWS Lambda, Amazon DynamoDB, and Amazon EMR. First, we will focus on building a scalable, durable streaming data ingestion workflow from data producers like mobile devices, servers, or even web browsers.
We will provide guidelines to minimize duplicates and achieve exactly-once processing semantics in your stream-processing applications. Then, we will show some of the proven architectures for processing streaming data using a combination of tools including Amazon Kinesis Stream, AWS Lambda, Amazon DynamoDB, and Spark Streaming running on Amazon EMR.
- - - - - - - - - -
Learn best practices for building a real-time streaming data architecture on AWS with Amazon Kinesis, Spark Streaming, AWS Lambda, Amazon DynamoDB, and Amazon EMR. First, we will focus on building a scalable, durable streaming data ingestion workflow from data producers like mobile devices, servers, or even web browsers.
We will provide guidelines to minimize duplicates and achieve exactly-once processing semantics in your stream-processing applications. Then, we will show some of the proven architectures for processing streaming data using a combination of tools including Amazon Kinesis Stream, AWS Lambda, Amazon DynamoDB, and Spark Streaming running on Amazon EMR.
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