Remove 2016 Remove Hadoop Remove Java Remove Programming Language
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Brief History of Data Engineering

Jesse Anderson

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. They eventually merged in 2012.

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5 Reasons why Java professionals should learn Hadoop

ProjectPro

According to the Industry Analytics Report, hadoop professionals get 250% salary hike. Java developers have increased probability to get a strong salary hike when they shift to big data job roles. If you are a java developer, you might have already heard about the excitement revolving around big data hadoop.

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What career path should I take to become a Hadoop Developer?

ProjectPro

Let’s help you out with some detailed analysis on the career path taken by hadoop developers so you can easily decide on the career path you should follow to become a Hadoop developer. What do recruiters look for when hiring Hadoop developers? Do certifications from popular Hadoop distribution providers provide an edge?

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Global Big Data & Hadoop Developer Salaries Review

ProjectPro

“I already have a job, so I don’t need to learn a new programming language.” 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.

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Top Big Data Certifications to choose from in 2023

ProjectPro

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Whether you are a data scientist, Hadoop developer , data architect, data analyst or an individual aspiring for a career in analytics, you will find this list helpful.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Build an Awesome Job Winning Data Engineering Projects Portfoli o Data Engineer: Job Growth in Future The demand for data engineers has been on a sharp rise since 2016. Good skills in computer programming languages like R, Python, Java, C++, etc. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

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MapReduce vs. Pig vs. Hive

ProjectPro

” The most impressive thing about this is that mankind is capable of storing, processing and analysing this incredible bulk of data using open source frameworks like Hadoop in reasonable time. Once big data is loaded into Hadoop, what is the best way to use this data? Each of these coding approaches has some pros and cons.

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