DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Low-latency data access
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Lots of small files
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Multiple writers, arbitrary file modifications
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All the above
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Detailed explanation-1: -If we have multiple writers and arbitrary file modifications, HDFS will not a good fit. Files in HDFS are modified by a single writer at any time. Writes are always made at the end of the file, in the append-only fashion. There is no support for modifications at arbitrary offsets in the file.
Detailed explanation-2: -Disadvantage: Can not achieve low-latency data access. Not suitable for a large number of small file storage. File modification is not supported (HDFS 2.
Detailed explanation-3: -Hadoop does not provides a command interface to interact with HDFS. Explanation: The correct feature is Hadoop provides a command interface to interact with HDFS.
Detailed explanation-4: -Option C (prevent deletion of data) is not a goal of HDFS.