Join Lynn Langit for an in-depth discussion in this video Emerging technologies and careers, part of Cloud Computing Career Paths and Certifications: First Steps.
- [Instructor] So we're going to take a look at Future Directions because I assume a lot of you guys watching this are changing careers. And so you want to study something that is going to be on the cutting edge and relevant so that you can be very viable on the job market. So in this section, we're going to look at emerging Cloud technologies and then map them to emerging careers on Cloud. We're also going to talk just briefly about cost management from a career standpoint and mention some resources for professional development. And then talk about Cloud technical communities that can also be a great resource when you're learning.
So the future technologies that are in heavy demand for Cloud professionals that they're really just new and there aren't enough people that know how to do these things. So if you are interested and you study these things, there's just so much demand for people in these areas. Those are Data Lake which is a Cloud set of services that combines usually Relational and Hadoop database technologies. So it's a lot of study because you have to either know or leverage your Relational knowledge and then add to that Non-relational or Hadoop.
Now sometimes that can also include NoSQL. As mentioned previously, I actually made a course for LinkedIn learning called NoSQL for the SQL Server Professional that can help to gain skills there. I also made a course called Hadoop Fundamentals that might be handy in this particular case. Another hot area is Internet of Things. And what that is is allowing devices to communicate to other systems, usually mobile applications via the Cloud. Very very hot area and is emergent because the Cloud is enabling a lot of new solutions.
Another area is API or Application Programming Interface or Lambda or Functional Programming. And the idea around this is exposing Cloud services for example something like, biology results processing. So genomic sequencing, processing, or for biotech. Or something from ad tech like processing of machine learning around photos or videos. So and so forth. Just various services around getting meaning out of data and exposing that as a programming interface that can be wired to other applications.
It's a hot area. Another area and kind of related to that is Machine Learning which is the application of statistical analysis or predictive analytics to different types of data. And it's not only textual data as I just said, it's also more and more becoming rich data like videos or sound or pictures or all kinds of new types of data. So these are really the four hot future technologies that I'm seeing in terms of Cloud careers. Now to map them, if you wanted to work in Internet of Things, the career is usually DevOps because you have to protect all of those devices from hacking.
So that's a pretty complex set of skills to know and related to that is a Cloud Security Expert. Around API and Data Lake, the new careers are Cloud Application Developer and Cloud Data Pipeline Developer. Around Machine Learning, Cloud Data Scientist is the associated career. And for all of them, having Cloud Architecture skills and understanding and working with reference architectures around Internet of Things or IoT, API, Data Lakes and Machine Learnings is in very very high demand.
- Reviewing IT pro, developer, analyst, and architect roles
- Reviewing IT pro skills, including virtualization, networking, and scripting
- Working with programming languages
- Reviewing AWS, Azure, GCP, and IBM certifications
- Reviewing cloud career paths
- Understanding emerging technologies and careers