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Hadoop > Learn Hadoop > What are the biggest pain points with Hadoop?
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What are the biggest pain points with Hadoop?

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"Transforming your struggles into success"

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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I am online Quran teacher 7 years

inherent batch processing nature leading to limitations in real-time analytics, the steep learning curve for its use, and security concerns.
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I am online Quran teacher 7 years

its inherent batch processing nature leading to limitations in real-time analytics, the steep learning curve for its use, and security concerns
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

Biggest Hadoop pain points: 1. Complex setup and maintenance 2. Steep learning curve 3. Slow for small datasets 4. High hardware cost 5. Poor real-time processing 6. Security challenges 7. Difficult debugging and monitoring
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C language Faculty (online Classes )

Hadoop is an open source framework based on Java that manages the storage and processing of large amounts of data for applications. Hadoop uses distributed storage and parallel processing to handle big data and analytics jobs, breaking workloads down into smaller workloads that can be run at the same...
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C language Faculty (online Classes )

Small File Challenge. Slow Processing Speed Challenge. Absence of Real-Time Processing. No Iterative Processing Challenge. Complexity in Implementation. Security Challenge in Hadoop.
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