DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Google MapReduce
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Google Big Table
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Google Assistant
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Google Meeting
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Google Drive
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Detailed explanation-1: -The HDFS is inspired from the GFS. Both the file systems are using the master slave architecture. The GFS works on the Linux platform on the other hand the HDFS works on the cross platforms. GFS has two servers master node and chunk servers and the HDFS has name node and data node servers.
Detailed explanation-2: -HDFS and MapReduce x: the Hadoop Distributed File System (HDFS) and the MapReduce parallel processing framework. These are both open source projects, inspired by technologies created inside Google.
Detailed explanation-3: -Google’s technology was not open source, so Yahoo and open-source communities developed Hadoop system collaboratively, which is an open-source implementation of MapReduce and GFS.
Detailed explanation-4: -The HDFS and GFS were built to support large files coming from various sources and in a variety of formats. Huge data storage size (Peta bytes) are distributed across thousands of disks attached to commodity hardware. Both HDFS and GFS are designed for data-intensive computing and not for normal end-users1.