10 Reasons why you should choose Big Data Hadoop as Career in 2018

10 Reasons why you should choose Big Data Hadoop as Career in 2018

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Why Big data is Best Career Move in 2018?

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Top 10 reasons why you should choose big data as career in 2018 1) 2) 3) 4) 5) 6) 7) 8) 9) 10)

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Increased Demand for Big data Professionals Plenty of Jobs to meet the skills gap A variety of job roles and Titles Huge Salary lumps for different big data roles Big Data analytics has become priority for organizations Big data analytics adoption is growing Decision-making process is accelerated Increase in structured and semi-structured Data Big Data analytics is used across industries Market forecasts are more accurate

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Why Big data is Best Career Move in 2018?

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Top 10 reasons why you should choose big data as career in 2018 This is all about big data professional. ➢ The presence of big data can be felt almost everywhere and there is an urgent need to preserve the collected data and deriving meaningful insights from the same. ➢ With the help of bid data analytics, the business processes can be accelerated and improves the overall decision making process to make you stand ahead of the crowd. ➢ For this purpose, we need skilled professionals too and there is an ocean of opportunities out there. ➢ If you are still not convinced, let us discuss the top 10 reasons one by one in upcoming slides to explain you why big data analytics is best career choice in 2018.

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1. Increased Demand for Big data Professionals

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2. Plenty of jobs to meet the skills gap

•According to a research, The USA is facing a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.

Big Data Analytic s

•This is the reason why demand for talent is expected to be on the higher side as more global organizations are outsourcing their work in the year 2018.

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3. A variety of job roles and Titles Once you master the big data skills, you become eligible to apply for a variety of job roles and titles.

Research analysts

Data Architects

Data Analysts

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Business analysts

Data Scientists

Data Visualizers

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4. Huge Salary lumps for different big data roles

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5. Big Data analytics – Top priority for organizations

According to a survey, Big data analytics is the top most priority by leading organizations as it improves their overall performance and revenues.

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6. Big data analytics adoption is growing

When it comes to big data analytics, the adoption of open source Hadoop Framework is just growing immensely as depicted in the pie chart as well.

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7. Decision-making process is accelerated

One of the biggest benefits of big data analytics is effective business strategy and improved decision making.

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8. Increase in Structured and Semi-Structured Data

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• Almost every organization today is interested in analyzing structured and non-structured data as shown in pie chart

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9. Big Data analytics is used across industries

Almost every domain today has realized the benefits of big data analytics and Hadoop Framework.

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10. Market Forecasts are more Accurate

• With big data analytics, market forecasts are more accurate and Companies are able to meet their business goals quickly.

• The future of big data analytics is also expected to grow immensely by 2020.

• Most importantly, the demand of big data tools will accelerate and it will make the analytics process easier and faster.

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Wrapping Up: •Big

Data analytics adoption creating huge demand for skilled professionals

•Analytics

no matter how advanced they are, does not remove the need for human insights. On the contrary, there is a compelling need for skilled people with the ability to understand data, think from the business point of view and come up with insights.

•For

this reason, technology professionals with Analytics skill are finding themselves in high demand as businesses look to harness the power of Big Data. A professional with the Analytical skills can master the ocean of Big Data and become a vital asset to an organization, boosting the business and their career.

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Thank you Happy learning

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