Do you want to raise your salary? Then learn Scala,golang or Python.

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"Editor's note" according to data provided by PayScale, a payroll agency, the mastery of Scala,golang and Python languages and big data technologies such as Apache Spark can lead to the biggest salary increase. The author of this article is Serdar Yegulalp, the article is ITOM management platform in China OneAPM compiled rendering.

Want a pay rise? Learn a new skill first.

from which door do you begin to learn? Go,scala and big data technologies such as Apache Spark and Hadoop are good choices, according to data provided by PayScale (it and other industry payroll survey agencies). PayScale uses its payroll survey database to determine which work skills can lead to maximum average wage growth, and publishes the results in the 2016 job skills preview, "Horizontal measurement: How to win in the skill economy".

The go and Scala languages make the most money

There is no doubt that it technology has high economic value. Even in an age of economic instability. PayScale listed 25 skills with an average salary increase of over 11.4%, and it technology accounted for two out of the top 10.

Of these, Scala's average salary rose the highest, at 22.2%. It is a functional language applied on a Java virtual machine and is now undergoing adjustment to be applied more directly to the host hardware.

Google's go language also squeezed into the top five. As a third place, it can generate 20% of the salary increase for its users. Ruby's ranking dropped to 20, with a growth rate of 12.3%.

Python did not appear in the Top 25 skill lists, but did well in other surveys in PayScale. The resulting wage increase is closely related to the position of its users. For example, in a management function (such as a software development manager), Python can lead to a 14.2% increase in salary, and in the scientific research function, the gain is about 11.6%, while in the architectural and engineering functions, only 8.2%.

Machine Learning and cloud integration

Any technology related to machine learning or big data seems to be the guarantee of bonuses. Natural language Processing (NLP) ranked 4th (17.9% improvement), the popular Apache Spark ranked 5th (17.7% increase), and the full range of algorithmic development was 6th (17.3%). Mapreduce,apache Cassandra and Hadoop rank between 10 and five.

As a general discipline, machine learning is ranked only in 22nd place (11.9% improvement). This may reflect the scope of the term itself, which can have an impact on many jobs and bring higher wages to users.

Cloud computing in the top 25 rankings can only be a single reference to Amazon Web Services (18, 12.6% growth). It's not surprising that AWS is the only instance of cloud technology that has been selected – for many people, AWS is the cloud; for those who choose it, it requires absolute loyalty.

The mobile technology in the rankings is basically the Apple company. IOS SDK (24th bit, 11.4% growth), objective-c (23rd bit, 11.7%) and Apple Xcode (14th bit, 13%) are the top 3 technologies. Apple's swift language absent--relatively speaking, it's a new technology--is going to change next year as it grows.

However, not all of the top-ranked it technologies are innovative technologies. Cisco ucce/ipcc--, a veteran It technology, is a good example of second-rate growth of 21.1%.

OneAPM can help you look at all aspects of your Python application, not only to monitor the user experience of the terminal, but also to monitor server performance, while also supporting issues such as tracking databases, third-party APIs, and WEB servers. To read more technical articles, please visit the OneAPM Official technology blog.

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Original link: http://www.javaworld.com/article/3071623/salary/want-to-boost-your-salary-learn-scala-golang-or-python.html