Cloud re:Cap — January 10, 2020
Cloud re:Cap — week ending January 10, 2020. An aggregated brief rundown of interesting Amazon Web Service (AWS) content, as always I encourage you to Learn and Be Curious and Dive Deep into AWS.
Blog post of the week:
Data visualization in AWS using AWS Data Exchange and Amazon QuickSight
Until now, finding the right third-party data to help uncover insights for your business has remained a slow and cumbersome process. With AWS Marketplace’s new service, AWS Data Exchange, you can now search, sample, and subscribe to data products across any industry. AWS Data Exchange’s catalog gives AWS customers access to data sources. You can use these datasets to experiment with your analytics and machine learning (ML) workloads. You can connect data from AWS Data Exchange with Amazon QuickSight to distill key insights into visualizations.
Whitepaper:
Introduction to DevOps on AWS.
As innovation accelerates and customer needs rapidly evolve, businesses must become increasingly agile. Time to market is key, and to facilitate overall business goals, IT departments need to be agile. Over the years software development lifecycles moved from waterfall to agile models of development. These improvements are moving downstream toward IT operations with the evolution of DevOps. Introduction to a DevOps approach with AWS.
Video:
Aaron Rodgers Defies Physics!
When Aaron Rodgers plays football, it’s as if the laws of nature bend to his will. Or is it? AWS and NFL Next Gen Stats use thousands of data points to crunch the numbers and discover what is behind Aaron’s mind-boggling moves.
Upcoming Events:
AWS Innovate Online Conference — AI and Machine Learning Edition.
Dive deep into any of the 20+ breakout sessions across six tracks delivered by AWS experts; explore key concepts, use cases, best practices, live demos, and live Q&A to learn how other organizations are using AI and Machine Learning and walk away with the ability to implement these projects for your organizations. Register NOW!
On demand Tech Talks:
Device Hacking 101: Build a Serverless Application for an IoT Device
Building a secure, scalable, performant and managed backend for an IoT device can seem like a huge challenge. In this tech talk, we’ll talk through some options you have to build a serverless backend, utilizing readily available open-source hardware devices and AWS services, such as AWS Lambda and AWS IoT.
This is my Architecture:
How to build a scalable chatbot and deploy to Europe’s largest airline. In this session we will look at how Cation Consultings’ dual AI platform, Parly, was deployed to Ryanair, Europe’s largest airline and has handled hundreds of thousands of customer interactions per month since December 2018. Parly delivers a multi-lingual, multi-channel Chatbot, leveraging Amazon Lex and Amazon Sagemaker to optimise responses to customer enquiries, in a perpetually learning environment.
Week in Review Catchall:
How Amazon is supporting victims of the Australia bushfire crisis
Amazon Web Services (AWS) is providing in-kind technical support for many of the government agencies dealing with the response and recovery efforts including Geoscience and Digital Earth Australia, the Bureau of Meteorology, and state agencies such as Land Gate (WA), the Rural Fire Service (NSW), Fires Near Me app, SAFECOM (SA), and the South Australian Department Planning, Transport, and Infrastructure.
How do I configure Amazon EMR to run a PySpark job using Python 3.6?
Amit shows you how to configure Amazon EMR to run a PySpark job using Python 3.6.
Facts & figures: Amazon fulfillment centers and robotics
When an Amazon customer opens her front door to greet that familiar cardboard box, it’s possible that any one of the company’s 100,000 drive units, 30 palletizers or six robo-stows played a part in the package’s delivery.
“The thing about inventing is you have to be both stubborn and flexible, more or less simultaneously. If you’re not stubborn, you’ll give up on experiments too soon. And if you’re not flexible, you’ll pound your head against the wall and you won’t see a different solution to a problem you’re trying to solve.” — Jeff Bezos
