Will Spark overtake Hadoop? Will Hadoop be replaced by Spark?

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Ranjith N

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Spark can never be a replacement for Hadoop! Spark is a processing engine on top of Hadoop ecosystem.
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Spark can never be a replacement for Hadoop! Spark is a processing engine on top of Hadoop ecosystem.
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

Spark and Hadoop serve different purposes, and while Spark has gained popularity for certain use cases, it's unlikely to completely replace Hadoop. Here’s a breakdown: ### 1. **Different Strengths**: - **Hadoop**: Best for batch processing large datasets and is great for data storage with HDFS. ...
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Spark and Hadoop serve different purposes, and while Spark has gained popularity for certain use cases, it's unlikely to completely replace Hadoop. Here’s a breakdown: ### 1. **Different Strengths**: - **Hadoop**: Best for batch processing large datasets and is great for data storage with HDFS. - **Spark**: Excels in in-memory processing, which makes it faster for iterative algorithms and real-time data processing. ### 2. **Complementary Use**: - Many organizations use both Hadoop and Spark together. Hadoop can be used for data storage (HDFS), while Spark can handle data processing tasks. ### 3. **Adoption Trends**: - Spark’s ease of use and speed has led to increased adoption for real-time analytics and machine learning, which may lead to a decline in Hadoop's exclusive use for these tasks. ### 4. **Future Outlook**: - Instead of a replacement, it's more likely that Spark will continue to coexist with Hadoop, enhancing its capabilities, especially in data processing. ### Summary: Spark may not replace Hadoop entirely but will likely continue to gain traction, especially for real-time and iterative processing tasks, while Hadoop remains relevant for large-scale batch processing and storage. read less
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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.
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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...
Sachin

I want to take online classes on database/ ETL testing.

 

Also i look forward to teach Mathematics/Science for class X-XII
Both are co-related to each other but compare to DBA Jobs, ETL job is more demanding hence you take class for informatica tools and others.
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