Media Summary: Want to learn how to easily take advantage of cloud-native services for existing file-based applications? In this session, we ... The launch of Amazon Route 53 Resolver endpoints and forwarding rules has opened up a variety of exciting new options for ... Developers have adopted the flexible schema and expressive query language of the MongoDB API because it enables them to ...

Aws Re Invent 2019 Deep - Detailed Analysis & Overview

Want to learn how to easily take advantage of cloud-native services for existing file-based applications? In this session, we ... The launch of Amazon Route 53 Resolver endpoints and forwarding rules has opened up a variety of exciting new options for ... Developers have adopted the flexible schema and expressive query language of the MongoDB API because it enables them to ... Welcome to the real world, where things don't always go your way. Systems can fail despite being designed to be highly available ... Savings Plans is a new flexible pricing model that provides savings of up to 72 percent on Amazon EC2 and In this session, we take an in-depth look at best practices for data warehousing with Amazon Redshift. We show you the best way ...

This technical session is for advanced users of Amazon DynamoDB. The patterns and data models discussed in this presentation ... Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that ... Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is ... Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale Oracle databases in the cloud.

Photo Gallery

AWS re:Invent 2019: Deep dive: File storage for business-critical applications (STG238)
AWS re:Invent 2019: Deep dive on DNS in the hybrid cloud (NET410)
AWS re:Invent 2019: Amazon DocumentDB deep dive (DAT326)
AWS re:Invent 2019: [REPEAT 1] Dive deep into AWS SCT and AWS DMS (DAT362-R1)
AWS re:Invent 2019: [REPEAT 1] Amazon’s approach to failing successfully (DOP208-R1)
AWS re:Invent 2019: [REPEAT 1] Dive deep on how to save with AWS Savings Plans (CMP210-R1)
AWS re:Invent 2019: Deep learning applications with TensorFlow, featuring Mobileye (AIM410-R)
AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift (ANT418)
AWS re:Invent 2019: [REPEAT 1] Amazon DynamoDB deep dive: Advanced design patterns (DAT403-R1)
AWS re:Invent 2019: Deep dive on Amazon Neptune (DAT361)
AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)
AWS re:Invent 2019: [NEW LAUNCH!] Dive Deep into IAM Access Analyzer (SEC309)
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AWS re:Invent 2019: Deep dive: File storage for business-critical applications (STG238)

AWS re:Invent 2019: Deep dive: File storage for business-critical applications (STG238)

Want to learn how to easily take advantage of cloud-native services for existing file-based applications? In this session, we ...

AWS re:Invent 2019: Deep dive on DNS in the hybrid cloud (NET410)

AWS re:Invent 2019: Deep dive on DNS in the hybrid cloud (NET410)

The launch of Amazon Route 53 Resolver endpoints and forwarding rules has opened up a variety of exciting new options for ...

AWS re:Invent 2019: Amazon DocumentDB deep dive (DAT326)

AWS re:Invent 2019: Amazon DocumentDB deep dive (DAT326)

Developers have adopted the flexible schema and expressive query language of the MongoDB API because it enables them to ...

AWS re:Invent 2019: [REPEAT 1] Dive deep into AWS SCT and AWS DMS (DAT362-R1)

AWS re:Invent 2019: [REPEAT 1] Dive deep into AWS SCT and AWS DMS (DAT362-R1)

In this session presented by

AWS re:Invent 2019: [REPEAT 1] Amazon’s approach to failing successfully (DOP208-R1)

AWS re:Invent 2019: [REPEAT 1] Amazon’s approach to failing successfully (DOP208-R1)

Welcome to the real world, where things don't always go your way. Systems can fail despite being designed to be highly available ...

AWS re:Invent 2019: [REPEAT 1] Dive deep on how to save with AWS Savings Plans (CMP210-R1)

AWS re:Invent 2019: [REPEAT 1] Dive deep on how to save with AWS Savings Plans (CMP210-R1)

Savings Plans is a new flexible pricing model that provides savings of up to 72 percent on Amazon EC2 and

AWS re:Invent 2019: Deep learning applications with TensorFlow, featuring Mobileye (AIM410-R)

AWS re:Invent 2019: Deep learning applications with TensorFlow, featuring Mobileye (AIM410-R)

TensorFlow is one of several open-source

AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift (ANT418)

AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift (ANT418)

In this session, we take an in-depth look at best practices for data warehousing with Amazon Redshift. We show you the best way ...

AWS re:Invent 2019: [REPEAT 1] Amazon DynamoDB deep dive: Advanced design patterns (DAT403-R1)

AWS re:Invent 2019: [REPEAT 1] Amazon DynamoDB deep dive: Advanced design patterns (DAT403-R1)

This technical session is for advanced users of Amazon DynamoDB. The patterns and data models discussed in this presentation ...

AWS re:Invent 2019: Deep dive on Amazon Neptune (DAT361)

AWS re:Invent 2019: Deep dive on Amazon Neptune (DAT361)

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that ...

AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)

AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is ...

AWS re:Invent 2019: [NEW LAUNCH!] Dive Deep into IAM Access Analyzer (SEC309)

AWS re:Invent 2019: [NEW LAUNCH!] Dive Deep into IAM Access Analyzer (SEC309)

AWS

AWS re:Invent 2019: [REPEAT 1] Deep dive on new features in Amazon RDS for Oracle (DAT365-R1)

AWS re:Invent 2019: [REPEAT 1] Deep dive on new features in Amazon RDS for Oracle (DAT365-R1)

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale Oracle databases in the cloud.