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show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.
Map tasks deal with mapping and data splitting, whereas Reduce tasks shuffle and reduce data. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. Metadata for a file, block, or directory typically takes 150 bytes. Spark stores data in RDDs on several partitions.
Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. SchemaSchema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.
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