Big Data Skills NoSQL Portfolio 
ProjectPro
JUNE 17, 2015
People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here Here is the list of top 15 big data and cloud computing skills professionals need to master to cash in rewarding big data and cloud computing jobs. from the last year.
ProjectPro
JUNE 30, 2016
.” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner Gartner report on big data skills gap reveals that about 2/3 rd of big data skill requirements remains unfilled and only 1/3 are met. These average salaries are merely big data skills like hadoop and spark.
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ProjectPro
OCTOBER 3, 2016
Hadoop has gained popularity in the big data space for large scale data mining and building features like recommendations and personalizations that account for the profitability of a company.All this comes at the cost of Hadoop developers, lots of hardware and IT personnel.
ProjectPro
NOVEMBER 10, 2016
If you are a techie planning to switch careers then, based on the demand in the market - Hadoop is a must have skill on your resume to future-proof your career. Becoming a Hadoop Developer – Career Outlook Dice survey revealed that 9 out of 10 high paid IT jobs require big data skills. big data related jobs.
ProjectPro
MARCH 7, 2016
If you are working with a company which deals with Big Data analytics, or if you have a graduate degree in big data then it is natural that you will question the need to take a Big Data Certification. Learn Hadoop to become a Microsoft Certified Big Data Engineer.
ProjectPro
JUNE 17, 2016
Highlight the Big Data Analytics Tools and Technologies You Know The world of analytics and data science is purely skills-based and there are ample skills and technologies like Hadoop, Spark, NoSQL, Python, R, Tableau, etc. that you need to learn to pursue a lucrative career in the industry.
ProjectPro
JUNE 29, 2016
As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.
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