What is the best for Java developer in between AWS and Hadoop?

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Amit Raj

TECHNICAL ARCHIECT & LEAD ENGINEER – GEN AI & DATABRICKS, CLOUD (AZURE, AWS), DEVOPS, DBT

Hi Poonam, Hadoop will be always better choice for Java users . if you need any guideline then let me know . i can support on this . Thanks Amit
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IMHO learning Hadoop or AWS is like learning SQL with Java. These are additional skills with Java work. AWS: You can start with AWS if your organization has already selected AWS for their infrastructure. AWS is ever growing field. You can first familiarize yourself with the scope of AWS associate...
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IMHO learning Hadoop or AWS is like learning SQL with Java. These are additional skills with Java work. AWS: You can start with AWS if your organization has already selected AWS for their infrastructure. AWS is ever growing field. You can first familiarize yourself with the scope of AWS associate architect. This area touches a bit of everything. Hadoop: You can pick Hadoop if you see yourself working on large scale projects with huge data. Hadoop is just the beginning. Depending on your interest you can pick Hive, Scalia, Spark to grow your knowledge of Hadoop ecosystem. I think both AWS and Hadoop have great potential. You will not regret learning any of these. read less
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Big Data Architect

Since you are from Java background,in Hadoop mapreduce part you could excel. Please let me know for more support.
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What are the biggest pain points with Hadoop?
The biggest pain points with Hadoop are its complexity in setup and maintenance, slow processing due to disk I/O, high resource consumption, and difficulty in handling real-time data.
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What does the term "data locality" mean in Hadoop?
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