00:00Alright, so one question I get asked a lot from job seekers is which cloud platform should I
00:04focus my learning on? Is it better to learn AWS, Azure or Google Cloud? Now with the three big
00:09players battling it out for market share, it can be hard to figure out which one to learn. But the
00:14truth is, there isn't really a right answer. Each platform has its own strengths and weaknesses and
00:19at the end of the day, it really depends on your own goals and what you want to achieve. Which
00:23is
00:23why in this video, I'll be comparing the three major cloud computing platforms so that you can
00:27decide for yourself which one to learn. I mean, I'm obviously very biased and love AWS because I
00:32previously worked there as a solutions architect for two years, but to make sure we're covering all
00:36our bases here, let's take a look at these five factors. So the first one is market demand, then
00:41job opportunities, ecosystem support, unique features and learning resources. Before we dive
00:47in, please make sure you give this video a like and subscribe to this channel to stay updated with
00:51cloud learning tips. Alright, let's get into it. So first things first, let's talk about market demand.
00:56In today's world, we've all seen that more and more businesses are turning to the cloud for the
01:00computing needs, which of course has resulted in a huge surge in demand for professionals with cloud
01:05skills. AWS, Azure and Google Cloud, all three have a strong presence in the cloud computing market,
01:11but AWS still remains the leader with 30% market share. This means that there's a high demand for
01:15people with AWS skills, making it a great choice for job seekers. Azure comes in second with around 22%
01:21market share, and Google Cloud is next with about 9%. Even though these two platforms are smaller
01:26than AWS, they are growing very fast, so I still recommend learning them. If you're interested in
01:31working for a particular company, you can also do some research to see what cloud platform they use.
01:36For example, Netflix uses AWS, Spotify uses Google Cloud, and Coca-Cola is an enterprise customer of
01:42Azure. Now, speaking of companies, let's talk about the job opportunities within each platform.
01:47As I mentioned earlier, AWS has the highest market demand, meaning that there's a lot of jobs
01:51available. In fact, after doing a quick search, I found that there's over 150,000 jobs currently
01:57listed on LinkedIn that require AWS skills. Azure and Google Cloud also have a large number of job
02:02opportunities, with 50,000 and 20,000 jobs listed for each one. My advice is to take a look at
02:08the job
02:08opportunities in your local area to see which cloud platform is highest in demand. For example, if there's
02:13a lot of Azure job openings where you live, then it might be a good idea to learn that. There's
02:17also
02:17a growing demand for cloud engineers and solutions architects that specialize in more than one platform.
02:22This means that if you have skills in two clouds, for example, both AWS and Azure, it could make you
02:28a better fit for companies that have a multi-cloud setup. But then again, I wouldn't worry too much
02:32about that as a beginner, since it's better to have a strong understanding of one cloud rather than the
02:37basic knowledge in all of them. Another trend in the job market is the rise of remote work and
02:42freelancing opportunities. With the global scale of cloud services, companies are now more open to
02:47hiring remote workers and freelancers to work on their projects. This means that you may not have
02:51to live in a specific location to secure a high paying job. So yeah, something else for you to keep
02:56in mind. Another factor to consider when choosing a cloud platform is the ecosystem and community
03:01support. What I mean by this is the amount of guidance and support from other users or experts
03:05within the cloud community. AWS has a very strong ecosystem. There's a wide range of resources available
03:11from extensive documentation to workshops and free online courses. They also have large communities
03:17of developers, architects, and other professionals who are willing to share their knowledge. This can
03:21be done through forums, meetups, or even conferences like AWS reInvent. Azure also has a pretty good
03:27support network and offers similar resources. Their ecosystem seems to be about the same size as AWS
03:33and they have cool communities like Azure tech groups. Google Cloud has a smaller community from what I've
03:38seen, but they're quickly building up their resources and ecosystems. This includes documentation,
03:43tutorials, conferences, and meetup groups. And so if you're looking for a cloud provider with a well
03:48established ecosystem and community, I would recommend either AWS or Azure. Before we move on to the next
03:54factor to consider, I'd like to introduce you to Datastacks. Now if you haven't heard of Datastacks,
03:59they're a company that provides real-time vector data tools that generative AI apps need. Their product,
04:04AstroDB is a great vector database for building production-level AI applications on real-time
04:09data. With AstroDB, you get up to 18% more relevant vector search results, 8x to 15x higher
04:15throughput, and can request responses up to 12x faster. Not to mention, their database as a service
04:20integrates seamlessly with Azure, AWS, and GCP, and can run on all of those clouds at the same time.
04:26And so if you're looking for a highly performant, efficient database service to handle vector,
04:30non-vector, and concurrent streaming data, I would recommend choosing AstroDB. I'll leave a link to
04:35it in the description below. Thank you Datastacks for sponsoring this video. Okay, another important
04:40factor to consider is the unique features and services offered by each cloud provider. Let's
04:44dive into each one to see what sets them apart. AWS is known for its incredibly extensive list of
04:50services. There's over 200 fully featured services available, and this includes products like Amazon
04:55EC2 for compute, S3 for storage, and Amazon RDS for databases. What also sets AWS apart is the
05:01specialized services for certain use cases. For example, Amazon Recognition is a powerful tool
05:06they have for image and video analysis. Azure also has a large number of products and services with
05:12over 200 available. Some cool services they have include Azure Cognitive Services for AI and machine
05:17learning, Azure Functions for event-driven computing, and Azure DevOps for CICD pipeline operations.
05:23One big advantage of using Azure is the integration they have with Microsoft products like Office
05:28365. This means that if a company is already using Microsoft tools, they might choose to go with
05:32Azure. Google Cloud may not have as many services as AWS or Azure, but they do offer some pretty unique
05:38ones. For example, Google BigQuery is a great data warehousing and analytics solution. I personally also
05:44find that the Google Cloud interface is really nice and user-friendly, making it easy to navigate
05:49around. The final factor to consider when choosing between AWS, Azure, and Google Cloud is the
05:54availability of learning resources and training programs. Sometimes I hear people asking what is
06:00the easiest cloud to learn, but the truth is none of them are easy. No matter what platform you end
06:04up
06:04choosing, there'll always be a learning curve involved. I wouldn't worry too much about this final
06:08factor because all three programs have some pretty good free resources to help you get started.
06:13For example, AWS has AWS Skill Builder, Azure has Microsoft Learn, and Google Cloud has the Google
06:19Cloud Skills Boost. As long as you're willing to invest time into learning the fundamentals,
06:24you can become proficient in any of these three cloud platforms.
06:27Alright, so this brings us to the end of the video. I hope now you have a better understanding
06:31of which cloud platform to learn. If you're interested in starting your cloud learning journey this year,
06:35make sure you subscribe to the channel and check out my other videos for more cloud learning tips.
06:39Thanks for watching and I'll see you soon. Bye for now!
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