Answer / Suraj Dubey

Spark training refers to the process of teaching machine learning models on large datasets with Apache Spark. It enables developers and data scientists to build, train, and optimize various machine learning algorithms using Spark's MLlib library.

Is apache spark a database?

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What does MLlib do?

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Is spark better than hadoop?

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What is data pipeline in spark?

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Is apache spark worth learning?

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What is parallelize in spark?

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How does broadcast join work in spark?

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Compare Hadoop and Spark?

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Explain the use of File system API in Apache Spark

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Define the common faults of the developer while using apache spark?

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What is Spark Dataset?

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What is a "worker node"?

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