Let’s start with
this statement from the Global Technology Report of 2014. It predicted big data
as “a new form of asset class. Data are now the equivalent of oil or gold. And
today we are seeing a data boom rivalling the Texas oil boom of the 20th century
and the San Francisco gold rush of the 1800s.”
Big data, it’s
no small business! Organisations continue to recognize the power and potential
of it. They are gaining a handful of benefits out of it.
As data science and analytics is becoming increasingly popular,
there are many professionals who make a career shift to harness big data. So,
if you are someone in the group, here’s 3 major skills to possess, for a bright
career in data analytics.
Programming
On an ideal
note, coding skills are essential to harness the power of big data. Programming
skills are integral to conduct numerical and statistical analysis of large sets
of data.
If you have
experience in working with languages like R, Python, Java etc. it will be
greatly helpful in your career as a big data analyst. You need to take advantage of various tools
as demanded by your job requirements. Once you are well-versed with one of
these statistical and scripting languages, learning the rest won’t be difficult.
Data Interpretation
Big data analytics
is all about examining large and varied sets of data using advanced data
analytic techniques. So that you can take data-driven decisions and thereby
gain a competitive advantage in the market.
The process of
data analytics includes data collection with innovative data mining
techniques, data warehousing, data transformation and data analysis
using tools like Hadoop, Cloudera etc. You are supposed to master the skills to
interpret data and make it useful with relevance to the business as a big data
analyst.
Domain knowledge
Here’s the most
relevant point. If you don’t possess considerable knowledge about the domain
you are working in, your knowledge in big data analytics and technology will be
hardly used properly. Hence, knowledge about the industry is considered to be
an essential skill to harness the power of big data.
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