- The document discusses Amazon Redshift, a cloud data warehouse service from AWS.
- It provides an overview of Redshift's architecture and how it has evolved over time, including the addition of new instance types.
- It also discusses how Redshift can be used with Amazon S3 as a data lake, through features like Redshift Spectrum, to enable analytics on both data warehouse and lake storage.
This document discusses Amazon SageMaker, an AWS service that allows users to build, train, and deploy machine learning models. It provides an overview of SageMaker's key capabilities like the SageMaker SDK, hosted Jupyter notebooks, built-in algorithms, and integration with other AWS services. Examples of using SageMaker with frameworks like Chainer and TensorFlow are also presented.
AWS Japan YouTube 公式チャンネルでライブ配信された 2022年4月26日の AWS Developer Live Show 「Infrastructure as Code 談議 2022」 の資料となります。 当日の配信はこちら からご確認いただけます。
https://youtu.be/ed35fEbpyIE
This session, led by James Hamilton, VP and Distinguished Engineer, gives an insider view of some the innovations that help make the AWS cloud unique. He will show examples of AWS networking innovations from the interregional network backbone, through custom routers and networking protocol stack, all the way down to individual servers. He will show examples from AWS server hardware, storage, and power distribution and then, up the stack, in high scale streaming data processing. James will also dive into fundamental database work AWS is delivering to open up scaling and performance limits, reduce costs, and eliminate much of the administrative burden of managing databases. Join this session and walk away with a deeper understanding of the underlying innovations powering the cloud.
The document discusses Amazon Web Services (AWS) Batch and how it can help customers run batch computing workloads on AWS. It notes that AWS Batch automatically provisions the optimal quantity and type of compute resources (e.g., EC2 instances) required to run jobs efficiently. It also allows customers to integrate their own scheduling and application code with AWS Batch through simple API calls or SDKs.
AWS Japan YouTube 公式チャンネルでライブ配信された 2022年4月26日の AWS Developer Live Show 「Infrastructure as Code 談議 2022」 の資料となります。 当日の配信はこちら からご確認いただけます。
https://youtu.be/ed35fEbpyIE
This session, led by James Hamilton, VP and Distinguished Engineer, gives an insider view of some the innovations that help make the AWS cloud unique. He will show examples of AWS networking innovations from the interregional network backbone, through custom routers and networking protocol stack, all the way down to individual servers. He will show examples from AWS server hardware, storage, and power distribution and then, up the stack, in high scale streaming data processing. James will also dive into fundamental database work AWS is delivering to open up scaling and performance limits, reduce costs, and eliminate much of the administrative burden of managing databases. Join this session and walk away with a deeper understanding of the underlying innovations powering the cloud.
The document discusses Amazon Web Services (AWS) Batch and how it can help customers run batch computing workloads on AWS. It notes that AWS Batch automatically provisions the optimal quantity and type of compute resources (e.g., EC2 instances) required to run jobs efficiently. It also allows customers to integrate their own scheduling and application code with AWS Batch through simple API calls or SDKs.