The document discusses reasons why learning big data technology such as Hadoop is beneficial in 2019. There is a huge demand for big data professionals due to a large skill gap compared to existing professionals. Professionals with big data skills can expect high salaries and a wide variety of job opportunities. Most organizations now prioritize big data analytics to improve decision-making and gain a competitive advantage through insights from vast amounts of data.

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Why learn Hadoop & big data
technology in 2019?

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Reasons To Learn Big Data Technology
 Huge Demand for Hadoop Big Data Professionals
 Huge Skill gap when compared to existing
professionals
 High Salary Bucks
 Taken as a Priority for Organizations
 Increase in Adoption
 Supports the Decision-making
 Big data technology is used everywhere
 Market forecast is accurate
 Unstructured Data handling
 Wide choices in Job Titles

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Hadoop & Big Data Technology
Big data is everywhere and there is an urgent need to
collect or preserve the data being generated by
Companies. There is a huge amount of data floating
around the web and this is why big data analytics is
considered important in improving the decision-making
process and providing the biggest edge over
competitors. For professionals, who are skilled in
Hadoop and big data, there is an ocean of
opportunities out there.

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Huge Demand For Hadoop Big Data Professionals
Data is useless if you don’t know how to
analyze it.
 There are more job options in the big data
field as compared to the last year and
many IT professionals are prepared to
invest money and time for the training.
 It is clear that the trend for implementing
big data analytics is zooming and it is
considered the top priority in US
businesses.

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Huge Skill Gap When Compared To Existing
Professionals
• The demand for big data professionals is increasing steadily and there is a huge deficit
at the supply side.
• This is the same case in the whole world not restricted to a particular geographical
area.
Demand
• Base on a study, there is a shortage of 190,000 data scientists, 1.5 million managers.
• Data analysts that are needed to implement big data technology in 2019.
Study
• The scarcity of data analytics professionals is extremely acute and demand for
professionals is expected to be at the higher side.
• more and more global organizations are outsourcing their projects.
outsourcing

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High Salary Bucks
Skilled big data professionals are getting fat
salary packages, especially in the USA and
Australia.
Based on a study, the annual salary hikes are
50 percent higher when compared to other IT
professionals. There is seen positive and
exponential growth in salaries and the same is
true for the year 2019 too.

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Taken As A Priority For Organizations
According to peer research
big analytics survey, Hadoop
is taken as the priority by a
lot of organizations
it improves the overall
performance of businesses.
It is assumed that more than
65 percent of total
organizations will start using
big data analytics in some
form based on their business
needs.
The final outcomes have
increased the belief of
organizations towards
Hadoop and big data
technology.

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Increase in Adoption
Increase In Adoption
Whenever you are implementing new
technology, the biggest challenge faced
by businesses is adoption. During the
last few years, there is seen a steady
increase in the adoption of big data
technology and organizations are even
getting benefits too with the right
implementation and strategy.

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Supports the Decision-making
Advantage
 The biggest advantage of Hadoop and big data
technology is how it helps in deriving meaningful
insights for organizations.
 In this way, big data analytics majorly
helps in deriving business strategy and
making effective business decisions.

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Big Data Technology Is Used Everywhere
Due to its awesome features and benefits, big data
technology is used almost everywhere like healthcare,
entertainment, manufacturing, energy, consumer,
technology, or banking sectors etc.

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Market Forecast Is Accurate
 The big data analytics has crossed revenue of $125 million by 2018.
 It can combine the power of machine learning or Artificial intelligence together to provide more
holistic and integrated security threats prediction.
 It can also be combined with cloud technologies to maximize the benefits up to 15 percent in the
near future.
 It is expected that big data analytics will increase its influence up to three times by 2020.

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Unstructured Data Handling
 There is a huge growth in unstructured or semi-structured business data with the increased
usage of the internet.
 So, this is necessary to analyze unstructured data sources too including blogs, email, photos,
and videos etc.
 It is possible to be managed well through big data technologies where meaningful decisions are
taken through unstructured or semi-structured data.
As technology becomes more complex and integrated with other technologies, there is a quick
need for niche experts who understand their role and responsibilities in depth.
If you are looking for a career option in Hadoop and big data technology in 2019 then it is a
worth rewarding choice.

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Wide Choices In Job Titles
 Big Data Managers
 Big Data Consultants
 Big Data Solution Architect
 Analytics Specialists
 Analytics Associate
 Big Data Engineer

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Thank you
Happy learning