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Hadoop > Learn Hadoop > Is a knowledge of Hadoop required to learn Spark?
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Is a knowledge of Hadoop required to learn Spark?

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No, you don't need to learn Hadoop to learn Spark. Spark was an independent project . But after YARN and Hadoop 2.0, Spark became popular because Spark can run on top of HDFS along with other Hadoop components.
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Wroking in IT industry from last 15 years and and trained more than 5000+ Students. Conact ME

No, knowledge of Hadoop isn't required to learn Spark, but it can be helpful for understanding data processing.
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My teaching experience 12 years

No, a knowledge of Hadoop is not strictly required to learn Spark. However, having a basic understanding of Hadoop can be beneficial in several ways: 1. _Context_: Spark was originally developed as a faster alternative to Hadoop's MapReduce processing engine. Understanding Hadoop's limitations and...
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No, a knowledge of Hadoop is not strictly required to learn Spark. However, having a basic understanding of Hadoop can be beneficial in several ways: 1. _Context_: Spark was originally developed as a faster alternative to Hadoop's MapReduce processing engine. Understanding Hadoop's limitations and use cases can provide context for Spark's design and strengths. 2. _Data storage_: Spark often uses Hadoop's Distributed File System (HDFS) or other Hadoop-compatible storage solutions for data storage. Familiarity with Hadoop's storage concepts can help with Spark data management. 3. _Ecosystem_: Spark is often used within the Hadoop ecosystem, alongside other tools like Hive, Pig, and HBase. Understanding Hadoop's ecosystem can help you integrate Spark with other tools. 4. _Concepts_: Some Spark concepts, like distributed processing, data partitioning, and fault tolerance, are similar to Hadoop's concepts. Knowing Hadoop can make it easier to learn these Spark concepts. That being said, Spark is designed to be accessible to users without prior Hadoop knowledge. Spark's documentation and tutorials assume no prior Hadoop experience, and you can learn Spark independently. If you're new to both Hadoop and Spark, start with Spark fundamentals and then explore Hadoop if needed. read less
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