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This architecture offers the basis that permits Spark and other applications sharing a cluster common to the dataset while consistent ensuring levels of service and response.
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Here we have given information about nested JSON data processing using Apache Spark in this article and given some necessary code related to it, then go to the end of this article to get more information about it.
Despite the fact that Apache Spark is considered the future of large data analytics, there are various drawbacks, which restrict access to certain conditions. Here we explain some disadvantages.
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