The propagation of artificial intelligence, Internet of Things, mobile and cloud computing is putting software into every business, organization and industry. And naturally, with code running in everything and everywhere, the demand for software development skills is increasing at an accelerated pace.

There are literally hundreds of programming and scripting languages, each with a unique learning curve, domain of utility, and salary expectations. If you do a quick search of the most popular programming languages, you’ll find different and contradicting results.

So here are 10 hot programming languages, in no specific order, that are very likely to land you a lucrative programming job in 2017 and beyond.

It's hard to deny the fact that "big data" is a ubiquitous buzzword today, and every now and again someone suggests that it's just a passing fad. The fact of the matter is that, while this trend may be experiencing some hype now and will likely eventually plateau (in the distant future), it's going to be a major player from here on in no matter how you slice it. This is because the insight brought forth from analyses of vast quantities of relevant data eliminates assumption and guesswork from the business decision-making process. In large businesses especially, this directly equates to mitigated risk, colossal savings and accelerated growth.

Data from the staffing industry indicates that people aren't just talking about big data; medium and large businesses are spending a great deal on — and exhibiting a lot of interest in — the scouting and hiring of data scientists and developers in the big data space.

The demand speaks for itself: for every one developer looking for a job in big data there are 3.6 job postings available in the United States. Additionally, as of 2014, developers who work with big data languages are the highest paid in the space. R, the statistical analysis programming language tops the list with an average salary over $115,000. Other languages and frameworks designed for dealing with large data sets, such as NOSQL, Apache Hadoop and MapReduce, boast six-figure salaries as well.

Even small businesses reap benefits from big data: although they don't often have the need to substantiate hiring in-house big data developers, they gain an advantage through externally managed analytical dashboards that help them visualize data and spot trends that can influence smarter businesses decisions.

The bottom line is that big data isn't simply an over-hyped term in the tech space and business world. The infatuation with big data is supported with fiscal interest in this new field because of the marked difference it's already making for SMBs and enterprises, and the vast potential it has to impact the way do business going forward. Take a look this infographic to see some of these trends visualized:

Cloud computing is often talked about as a technology that will make IT departments obsolete as companies seek to outsource computing needs. This analysis misses the complexity of what's actually happening in IT departments.

The actuality is that cloud technologies are running in conjunction with on-site systems, and many companies are choosing to operate and maintain their own servers - even if they have a few Cloud applications up and running. This adds a layer of complexity to effectively managing the IT needs of an organization. Rather than eliminating the role of in-house IT professionals, the cloud is merely changing the skill set and job functions of the IT department.

In my experience, here are the top 5 skills IT professionals will need to learn to work in cloud computing: