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Hadoop Salary: A Complete Guide from Beginners to Advance

Knowledge Hut

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. A Master's or Ph.D.

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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. The tool also does not have an automatic code optimization process.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Equip yourself with the experience and know-how of Hadoop, Spark, and Kafka, and get some hands-on experience in AWS data engineer skills, Azure, or Google Cloud Platform.

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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. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

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Hadoop Jobs Salary Trends in India

ProjectPro

Many organizations across these industries have started increasing awareness about the new big data tools and are taking steps to develop the big data talent pool to drive industrialisation of the analytics segment in India. ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. A powerful Big Data tool, Apache Hadoop alone is far from being almighty.