Big Data & Internet of things
You’re hired Martin Ewings, director of specialist markets at Experis, outlines six key skills employers look for in Big Data hires.
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any organisations have invested in Big Data in recent years, recognising that turning raw data into valuable insights can help to set them apart from the competition. To achieve this, employers must engage and find the right professionals, who are suitably capable of turning this data into business gold. It’s therefore hardly surprising that Big Data professionals are highly sought after. In fact, new research shows that the demand for Big Data skills and
22 | June 2018
professionals has surged by 78% in the past 12 months (Q1 2017 – Q1 2018). Big Data embraces a broad range of activities. But it’s important to remember that it’s more than just ‘a lot of data’. It’s about the meaning and value that can be extracted from the data. And in order to turn this data into actionable insight, businesses need to find the talent with the right skills. Here are six essential skills that employers look for when making Big Data hires:
• Programming A key foundation for Big Data is learning programming languages. Big Data involves handling large volumes of unstructured data which come from various sources. Having the ability to code, analyse and customise large datasets to draw relevant insights is a crucial component. Typical programming languages which are in demand for Big Data include: R, Matlab and SAS. It’s also important to learn some of the basic languages, such as C, C++, Python and Java.