DATABASE FUNDAMENTALS
BASICS OF BIG DATA
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
MapReduce, Hive and HBase
|
|
|
MapReduce, MySQL and Google Apps
|
|
|
MapReduce, Hummer and Iguana
|
|
|
MapReduce, Heron and Trumpet
|
Detailed explanation-1: -Hadoop is a framework that works with a variety of related tools. Common cohorts include: MapReduce, Hive and HBase. MapReduce, MySQL and Google Apps.
Detailed explanation-2: -The Hadoop framework comprises two key modules: MapReduce as the data processing framework and HDFS (Hadoop distributed file system) as the data storage framework. In the recent past, the surging popularity of Apache Spark has hooked into Hadoop to replace MapReduce.
Detailed explanation-3: -Apache Sqoop It is a command-line interface, mostly used to move data between Hadoop and structured data stores or mainframes. It imports data from RDBMS and stores it in HDFS, transformed it into MapReduce, and is sent back to RDBMS. It comes with a data export tool and a primitive execution shell.