February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Schema change
Data with a flexible structure can have fields added, updated, or deleted over time and even varies amongst concurrently ingested records. Almost all of the file format choices focus on managing flexibly structured data. The AVRO file format provides the ability to deal with schema changes by allowing forward and backward compatibility of schema. The users can focus on data processing and the schema part will be taken care of by AVRO. It also helps in sharing data across two completely different platforms.
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