Question 25 2 pts How is Map/Reduce with Hadoop different from the other data processing tools we used in this lecture,

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Question 25 2 Pts How Is Map Reduce With Hadoop Different From The Other Data Processing Tools We Used In This Lecture 1 (57.11 KiB) Viewed 34 times

Question 25 2 pts How is Map/Reduce with Hadoop different from the other data processing tools we used in this lecture, such as Pandas or SQL databases? O Map/Reduce is the only data processing platform that allows to perform text categorization based on TF-IDF weighting on unstructured text data. O Map/Reduce is a data processing framework that provides both scalability and flexibility for data analytics by allowing user-defined computations over a variety of data (no schema needed) to be easily parallelised on multiple computing nodes. O Map/Reduce is the only tool which allows to apply a higher-order function to a set of data. O Map/Reduce is the only data processing approach to analyse semi-structured data. O Map/Reduce is the only data processing tool that allows declarative querying on large data sets that do not fit into main memory.