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In this blog post I’m going to talk about AWS DataSync – tool which was introduced by Amazon at re:Invent 2018 to simplify moving your data between on-premises and AWS cloud. Core reason to introduce this tool was the fact that increased move to the cloud of critical workloads drove the need for move of increasingly large datasets into the cloud along with these workloads. AWS DataSync focuses on online data transfer scenarios which include such use cases as migration of active application data, recurring transfers for data processing, and disaster recovery.
Gluon was defined by these two companies as “an open source deep learning interface that allows developers to more easily and quickly build machine learning models without compromising training performance”. But, what exactly does this represent? It’s acting as an interface that lets developers, of different skill levels, use Python and pre-built deep learning templates to simplify the building of models to run neural networks.
As a result of the recent major buyout from Amazon to Whole Foods, Walmart has recently asked their vendors and providers to not use Amazon Web Services (AWS) for hosting any of the Walmart data or even transactions. Adding to that recommendation, Walmart has been recommending to these providers to use Microsoft Azure instead. But is that a right decision to protect their information?
Same as Microsoft’s strategy for locations within cloud services, Amazon Web Services (AWS) is adding more regions into their AWS datacenter ecosystem: France, China, and Sweden were recently announced as new regions for 2017/2018; and now Hong Kong will also have an AWS datacenter in 2018.