Media Summary: On LinkedIn, the skill for three years in a row is “cloud and distributed computing.” The pressure on our educational system to ... In this session, hear engineers from Amazon Prime Video and Amazon CloudFront discuss how they have architected and ... Watch the Global Partner Keynote featuring Terry Wise, Vice President of Global Alliances and Channels,

Aws Re Invent 2018 Finding - Detailed Analysis & Overview

On LinkedIn, the skill for three years in a row is “cloud and distributed computing.” The pressure on our educational system to ... In this session, hear engineers from Amazon Prime Video and Amazon CloudFront discuss how they have architected and ... Watch the Global Partner Keynote featuring Terry Wise, Vice President of Global Alliances and Channels, Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with ... Amazon Aurora is a fully managed relational database service that combines the speed and availability of high-end commercial ... Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications.

The unique global cloud infrastructure offered by An effective API strategy is critical to digital transformation and rapid innovation. In this session, we deep dive into advanced ... Data privacy and security are top concerns for customers in the cloud. In this session, the We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous ... Watch Dr. Matt Wood, GM of Deep Learning and AI perform a demo of This session is for those who already have some familiarity with DynamoDB. The patterns and data models discussed in this ...

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AWS re:Invent 2018: Finding Tech Talent: Creating the Next Generation of Cloud Workers (WPS205)
AWS re:Invent 2018: Amazon Prime Video: Delivering the Amazing Video Experience (CTD203-R1)
AWS re:Invent 2018 - Global Partner Keynote
AWS re:Invent 2018: [NEW LAUNCH!] Introducing Amazon Forecast  (AIM344)
AWS re:Invent 2018: [REPEAT 1] Deep Dive on Amazon Aurora with MySQL Compatibility (DAT304-R1)
AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)
AWS re:Invent 2018: Foundations of AWS Global Cloud Infrastructure (ARC217)
AWS re:Invent 2018: Digital Transformation Through APIs (SRV323)
AWS re:Invent 2018: The Theory and Math Behind Data Privacy and Security Assurance (SEC301)
AWS re:Invent 2018: AWS Direct Connect: Deep Dive (NET403)
AWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)
AWS re:Invent 2018 – Announcing AWS DeepRacer (Demo)
View Detailed Profile
AWS re:Invent 2018: Finding Tech Talent: Creating the Next Generation of Cloud Workers (WPS205)

AWS re:Invent 2018: Finding Tech Talent: Creating the Next Generation of Cloud Workers (WPS205)

On LinkedIn, the #1 skill for three years in a row is “cloud and distributed computing.” The pressure on our educational system to ...

AWS re:Invent 2018: Amazon Prime Video: Delivering the Amazing Video Experience (CTD203-R1)

AWS re:Invent 2018: Amazon Prime Video: Delivering the Amazing Video Experience (CTD203-R1)

In this session, hear engineers from Amazon Prime Video and Amazon CloudFront discuss how they have architected and ...

AWS re:Invent 2018 - Global Partner Keynote

AWS re:Invent 2018 - Global Partner Keynote

Watch the Global Partner Keynote featuring Terry Wise, Vice President of Global Alliances and Channels,

AWS re:Invent 2018: [NEW LAUNCH!] Introducing Amazon Forecast  (AIM344)

AWS re:Invent 2018: [NEW LAUNCH!] Introducing Amazon Forecast  (AIM344)

Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with ...

AWS re:Invent 2018: [REPEAT 1] Deep Dive on Amazon Aurora with MySQL Compatibility (DAT304-R1)

AWS re:Invent 2018: [REPEAT 1] Deep Dive on Amazon Aurora with MySQL Compatibility (DAT304-R1)

Amazon Aurora is a fully managed relational database service that combines the speed and availability of high-end commercial ...

AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)

AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)

Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications.

AWS re:Invent 2018: Foundations of AWS Global Cloud Infrastructure (ARC217)

AWS re:Invent 2018: Foundations of AWS Global Cloud Infrastructure (ARC217)

The unique global cloud infrastructure offered by

AWS re:Invent 2018: Digital Transformation Through APIs (SRV323)

AWS re:Invent 2018: Digital Transformation Through APIs (SRV323)

An effective API strategy is critical to digital transformation and rapid innovation. In this session, we deep dive into advanced ...

AWS re:Invent 2018: The Theory and Math Behind Data Privacy and Security Assurance (SEC301)

AWS re:Invent 2018: The Theory and Math Behind Data Privacy and Security Assurance (SEC301)

Data privacy and security are top concerns for customers in the cloud. In this session, the

AWS re:Invent 2018: AWS Direct Connect: Deep Dive (NET403)

AWS re:Invent 2018: AWS Direct Connect: Deep Dive (NET403)

AWS

AWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)

AWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)

We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous ...

AWS re:Invent 2018 – Announcing AWS DeepRacer (Demo)

AWS re:Invent 2018 – Announcing AWS DeepRacer (Demo)

Watch Dr. Matt Wood, GM of Deep Learning and AI perform a demo of

AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)

AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)

This session is for those who already have some familiarity with DynamoDB. The patterns and data models discussed in this ...