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

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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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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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Srinivasan
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What are some of the big data processing frameworks one should know about?
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Varsha
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Hi all, This is Mahesh, I had one strong question eagerly to ask every one in IT people. As every one who has done engineering want to choose IT industry( for their career growth, Hard work,smart work their goals, for a good pay, for luxury, for time pass, acting,enjoyment). Ok, after graduated where some people placed in campus placements and some people will go further studies and some are will get refer to their company's and some people will get a employee chance as Third party vendor. Now,coming to job after working hard on one technology for at least 1 year will get bored for every one in IT industry and they don't have a chance to do R & D and don't get a new requirements and don't have a chance to move in to new technology and don't have a chance to put quit for a job because their personal reason. After getting bored on one technology they have moved into another technology their same programming and same requirement but only different syntax's, different programming. Is this happen for every developer, every programmer in IT industry. As I am totally confused which technology I have choose and sometimes I want to quit. According to Booming technologies I choose PHP and than Unix and now the same requirement same work and I am unable to think different in IT industry to move which technology to put challenge. And now I want to move into another technology, I am confused to choose there are infinite technologies in IT industry.Please guide me which technology I have to choose to get complete knowledge. As some one is telling to choose Hadoop technology. Thanks & Regards, Mahesh
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Mahesh
A friend of mine asked me which would be better, a course on Java or a course on big data or Hadoop. All I could manage was a blank stare. Do you have any ideas?
A course is bigdata will be more better. But honestly as a freshers getting a job in big data is little difficult. So my suggestion will be do a course on both java and bigdata, apply for job and what...
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Srikumar
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