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

ProjectPro

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.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

IBM Data Science Professional Certificate Introduction : IBM Data Science Professional Certificate is a Professional Certificate - 10 course series. You’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months.

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Improve Your LinkedIn Profile and find the right Hadoop Job!

ProjectPro

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.

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5 Reasons to Learn Hadoop

ProjectPro

Thus, professionals must learn Hadoop to ramp up on the big data technology as Hadoop is soon going to be identified as a must have skill by all big data companies. ” A researchreport by Markets and Markets Research anticipates that Hadoop and Big Data Analytics market will reach close to $13.9

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How to grab the high-paying jobs in todays Big Data and Cloud Computing field?

ProjectPro

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.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.