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Hadoop Mapreduce to Apache Spark : Data Storage and Processing Strategy Transformation

#Hadoop #Mapreduce to #Apache #Spark : Data Storage and Processing Strategy Transformation

  • Since Apache spark does processing in memory so it is faster compared to Hadoop Mapreduce but if we have very huge data set and we do not have sufficient memory to loaded all at once then Apace spark cannot be worked with charm.
  • Below diagram gives high level overview of Apache spark and its major components.
  • Is Apache spark is replacement of Mapreduce – One word answer is No; Apache spark has been developed to deal with relatively less volume of data where latency is prime factor to be considered.

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@Informatica: “#Hadoop #Mapreduce to #Apache #Spark : Data Storage and Processing Strategy Transformation”


Hadoop Mapreduce to Apache Spark, Data Storage and Processing Strategy Transformation.


Hadoop Mapreduce to Apache Spark : Data Storage and Processing Strategy Transformation

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