Tag: AWS re:Invent

Moving large amounts of on-premises data to the cloud as part of a migration effort is still more challenging than it should be! Even with high-end connections, moving petabytes or exabytes of film vaults, financial records, satellite imagery, or scientific data across the Internet can take years or decades.  On the business side, adding new […]

A I was preparing to write this blog post I went back and read the post I wrote when we launched AWS Snowball last year (AWS Import/Export Snowball – Transfer 1 Petabyte Per Week Using Amazon-Owned Storage Appliances) and then cataloged all of the updates that we have made since then. To recap, Snowball started […]

Computing and data processing within the confines of a data center or office is easy. You can generally count on good connectivity and a steady supply of electricity, and you have access to as much on-premises or cloud-based storage and compute power as you need. The situation is much different out in the real world. […]

Just two years ago (it seems like yesterday), I introduced you to Amazon Aurora in my post Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS. In that post I told you how the RDS team took a fresh, unconstrained look at the relational database model and explained how they built a relational […]

As I was getting ready to write this post, I thought back to my childhood (largely spent watching TV) and some of the popular computer and robot voices of the 1960’s and 1970’s. In just a few minutes, pleasant memories of HAL-9000, B9 (Lost in Space), the original Star Trek Computer, and Rosie (from The […]

What do you see when you look at this picture? You might simply see an animal. Maybe you see a pet, a dog, or a Golden Retriever. The association between the image and these labels is not hard-wired in to your brain. Instead, you learned the labels after seeing hundreds or thousands of examples. Operating […]

While computers that talk are great, computers that listen and respond are even better! If you have used an Amazon Echo, you know how simple, useful, and powerful the Alexa-powered interaction model can be. Today we are making the same deep learning technologies (ASR – Automatic Speech Recognition NLU – Natural Language Understanding) that power […]

The amount of data that we all have to deal with grows every day (I still keep a floppy disk or two around in order to remind myself that 1.44 MB once seemed like a lot of storage). These days, many people routinely process and query data in structured or semi-structured files at petabyte scale. […]