The fact of the matter is that cloud computing is no different than other sweeping technology trends . Smart people will turbocharge their cloud careers by investing in the right training and then finding the right companies that will position them for success in the cloud market of the future .
Cloud Operations & Management
Although this might sound like a boring skill set , it ’ s going to be in high demand . We believe that more than 10 percent of workloads will be in the cloud by 2019 , so efficiently operating and managing applications will be the single most important skill that enterprises will need .
Devops will also be important for any public cloud strategy . As most enterprises transition to cloud-based everything , they are also transitioning to a devops tool set and culture . These two simultaneous transitions make for a lot of confusion . People who can bring good skills to the twin change effort will be paid well and valued more .
Internet of Things
IoT is hot right now , and I suspect it will become hotter in 2017 and 2018 . But just having IoT on your resume won ’ t do much good . You need to have specific skills related to IoT , and there are many to choose from . Here are three I recommend :
• Machine learning . Not a new concept , in that it ’ s related to traditional AI . However , machine learning should become vital to many IoT installations . A learning machine can leverage the huge amount of data that spins out of sensors , and react to it in almost real time . Dealing with this data will become a huge part of IoT . Get smart about specific machine learning systems , such as Amazon Web Services , but also understand how things will work to find patterns in data sources that go well beyond a petabyte .
• Data integration . Also not new , but considering that IoT is about moving data from one place to another , data integration is becoming an in-demand skill . There are different types of data integration that all play a role in IoT . Real-time messaging is important . Data moving from sensors to back-end data storage systems needs to rely on a data integration system that can keep up with the movement of data from the source to the target . Data integration is all about batch migration of data as well ,
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