Who gets more pay, Hadoop or Java developers?

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Salary comparisons between Hadoop developers and Java developers can vary based on factors such as experience, location, industry, and the specific skill set demanded by employers. Both Hadoop and Java are important in the field of big data and enterprise software development, but they involve different...
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Salary comparisons between Hadoop developers and Java developers can vary based on factors such as experience, location, industry, and the specific skill set demanded by employers. Both Hadoop and Java are important in the field of big data and enterprise software development, but they involve different skill sets and responsibilities.here are some general observations: Java Developers: Wide Applicability: Java is a versatile programming language used in a wide range of applications, including web development, enterprise applications, mobile development (Android), and more. High Demand: Java developers are consistently in demand across various industries, and Java remains one of the most widely used programming languages. Skill Set: Java developers typically need strong skills in Java programming, understanding of software design patterns, and familiarity with various Java frameworks. Hadoop Developers: Big Data Specialization: Hadoop developers specialize in big data technologies, particularly the Hadoop ecosystem, which includes components like Hadoop Distributed File System (HDFS), MapReduce, and Apache Spark. Growing Demand: With the increasing volume of data generated, there is a demand for professionals who can work with big data technologies. Hadoop developers are sought after for roles involving large-scale data processing, analytics, and data engineering. Skill Set: Hadoop developers need skills in distributed computing, big data processing frameworks, and tools like Hadoop, Spark, Hive, and Pig. Knowledge of data modeling and ETL (Extract, Transform, Load) processes is also valuable. When it comes to salary, it's important to note that salaries can vary significantly based on factors such as location, experience level, company size, and industry. In some cases, professionals with expertise in both Java and Hadoop may command higher salaries due to their versatility and ability to work on different aspects of software development, including big data. To get accurate and up-to-date information on salary trends for Java developers and Hadoop developers in your specific region and industry, it's recommended to consult salary surveys, job market reports, and job boards. Websites like Glassdoor, Payscale, and LinkedIn can provide insights into salary ranges for different roles in software development. Additionally, reaching out to industry professionals or recruiters in your area can provide valuable information about the local job market. read less
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I want to pursue career in Data Analyst i.e. Hadoop, currently working in testing professional from last 4 year. Please let me know what�s the opportunity and is my work experience is considerable in Hadoop. Also let me know what need to be prepare for that. Please guide me. Thanks in advance.
Sachin, YEs your work experience will consider as total IT experience. But you need to prepare BigData Hadoop analytic from scratch(start-to end). That means you need to know Hadoop as BigData Hadoop developer...
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Hello, I have completed B.com , MBA fin & M and 5 yr working experience in SAP PLM 1 - Engineering documentation management 2 - Documentation management Please suggest me which IT course suitable to my career growth and scope in market ? Thanks.
If you think you are strong in finance and costing, I would suggest you a SAP FICO course which is definitely always in demand. if you have an experience as a end user on SAP PLM / Documentation etc, even a course on SAP PLM DMS should be good.
Priya
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Can anyone suggest about Hadoop?
Hadoop is good but it depends on your experience. If you don't know basic java, linux, shell scripting. Hadoop is not beneficial for you.
Ajay
What does the term "data locality" mean in Hadoop?
Data locality in Hadoop refers to the practice of processing data on the same node where it is stored, reducing network traffic and improving performance.
Sabna
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how much time will take to learn Big data development course and what are the prerequisites
weekdays 4 weeks and weekend 5 weeks.it is 30 hours duration
Venkat

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