AWS Tel Aviv Summit 2018: Amazon Kinesis – Building Serverless Real-Time Solution
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28 дней – 2 3353:27
Опубликовано 30 марта 2018, 18:38
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Amazon Kinesis Streams was born of necessity, to enable Amazon Web Services to capture millions of individual metering records per second from AWS services and EC2 instances and aggregate these records by account identifier to produce a customer billing record in real time.
Today, Kinesis is a foundational service which over a dozen AWS and Amazon retail services use to capture and process streaming data.Since the launch of Kinesis Streams, Amazon has worked with customers as their stream processing needs have evolved, subsequently launching Kinesis Firehose—which enables customers to capture streaming data, perform in-line processing to clean, format, and deliver this data to service destinations, such as S3, Redshift, Elasticsearch, and Lambda, in minutes—and Kinesis Analytics—which enables customers to process streaming data in real time using ANSI SQL.
Today, Kinesis data streaming services are foundational for business critical workflows, providing customers with a new way to process big data and extract actionable insights. In this session, we offer an overview of Kinesis, Amazon’s data streaming platform—highlighting key architectural features—and explains how customers have architected their applications using Kinesis services for low-latency and extreme scale. We will also demonstrate how to build an end-to-end solution using the latest and greatest AWS Data and analytics services like Athena, Glue, Lambda and more.
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Amazon Kinesis Streams was born of necessity, to enable Amazon Web Services to capture millions of individual metering records per second from AWS services and EC2 instances and aggregate these records by account identifier to produce a customer billing record in real time.
Today, Kinesis is a foundational service which over a dozen AWS and Amazon retail services use to capture and process streaming data.Since the launch of Kinesis Streams, Amazon has worked with customers as their stream processing needs have evolved, subsequently launching Kinesis Firehose—which enables customers to capture streaming data, perform in-line processing to clean, format, and deliver this data to service destinations, such as S3, Redshift, Elasticsearch, and Lambda, in minutes—and Kinesis Analytics—which enables customers to process streaming data in real time using ANSI SQL.
Today, Kinesis data streaming services are foundational for business critical workflows, providing customers with a new way to process big data and extract actionable insights. In this session, we offer an overview of Kinesis, Amazon’s data streaming platform—highlighting key architectural features—and explains how customers have architected their applications using Kinesis services for low-latency and extreme scale. We will also demonstrate how to build an end-to-end solution using the latest and greatest AWS Data and analytics services like Athena, Glue, Lambda and more.
[7/26]
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