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November 27, 2015updated 23 Aug 2016 10:55am

Big Data jobs: 5 most in-demand skills

List: As the Big Data market grows, so does the demand for skilled workers - are your skills in-demand?

By James Nunns

The Big Data market is growing as businesses realise the important of making data driven decisions. The market is predicted to be worth $46.34 billion by 2018, while if you consider it to be an important part of the IoT market then estimates head into trillions of dollars.

The point being that it is in big demand and that demand to grasp the potential value of data is leading to higher requirements for skilled workers.

Figures come from WantedAnalytics which provides data analytics on the workplace.


1. Big Data

Although it’s a very broad area, this is the most commonly used term used in job listings. This can include roles for data analysts, data scientists or other important roles within the data industry.

The median salary for professionals with Big Data expertise is $104,850, meaning they won’t be going hungry.

The job skill was mentioned 112,469 times in the first six months of 2015, representing an increase of 118% over the previous year.

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Consider skills such as knowing programming languages, being well versed in statistics or mathematical modelling a boost in this area.


2. Java

Java, the general-purpose computer programming language, is class-based, object-oriented and designed to have as few implementation dependencies as possible.

This skill was mentioned 35,700 times in required skills, an increase of 106% from the previous year.

Java is a tool that many companies have been adding to their platforms, for example IBM to its cloud, Bluemix.


3. Hadoop

Like Big Data, Hadoop is an extremely broad area; alone it covers numerous companies and tools such as Spark and Map Reduce.

Hadoop skills were mentioned 31,274 times in the first six months of the year, growing faster in demand than Java, with an 118% growth rate.

Offering Big Data computing at scale the Hadoop market has experienced significant growth, in September it was predicted to grow at 58.2% CAGR between 2013 and 2020.


4. Python

Another programming language, this time an interpreted, object oriented, high-level programming language with dynamic semantics.

It is popular for rapid application development, as well as for use as scripting or glue language to connect existing components together.

Mentioned 31,000 times exactly in the first six months of 2015, it saw an impressive growth in demand of 231%.


5. Structured query language

This is a widely-used programming language that can be used for working with relational databases, typically shortened to SQL.

The language is used to communicate with the database, with SQL statements used to perform tasks such as an update on the database, or to retrieve data from it.

Some of the big users of this language are Oracle and Microsoft SQL Server.

It was mentioned 28,037 at a growth rate much lower than the others in this list at just 76%, still impressive but weak compared to the others.

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