What does it imply when it says that Apache Spark translates RDDs in a lazy manner
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What does it imply when it says that Apache Spark translates RDDs in a lazy manner?
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- "How does Apache Spark conduct lazy transformations on RDDs?" is the answer to this question.Supposedly, RDD conversions in Apache Spark are executed "lazily."Provide an explanation for the following remark on Apache Spark: "Transformations are carried out on RDDs by Apache Spark in a lazy fashion.?"
- According to the following assertion, RDD transformations in Apache Spark are supposedly completed in a "lazy" manner?Imagine you get a data set from a client that contains addresses from 150 countries all around the world and your task is to verify them, the data is stored in 3 fields – Address Line, City, ZIP code. What you also have available is address verification solution for each country, but the data set does not include the country code. Your task is to design logic that will process the data and find the country for each record, so they can be run through a validation component. Think of the most efficient way.Imagine you get a data set from a client that contains addresses from 150 countries all around the world and your task is to verify them, the data is stored in 3 fields – Address Line, City, ZIP code. What you also have available is address verification solution for each country, but the data set does not include the country code. Your task is to design logic that will process the data and find the country for each record, so they can be ran through a validation component. Think of the most efficient way. Hint: Running all of those 150 address verification components against each record is not considered efficient.