Exploring Hadoop Fundamentals

What is Hadoop primarily used for?

• Hadoop is primarily used for web hosting.

• Hadoop is primarily used for big data storage and processing.

• Hadoop is primarily used for mobile app development.

• Hadoop is mainly used for video streaming.

Who created Hadoop and when?

• James Gosling, 2001

• Doug Cutting and Mike Cafarella, 2005

• Guido van Rossum, 2004

• Linus Torvalds, 2003

What are the main components of the Hadoop ecosystem?

• MongoDB

• HDFS, MapReduce, YARN, Hive, Pig, HBase

• SQL Server

• Apache Kafka

What is the function of HDFS in Hadoop?

• HDFS is a data processing framework for real-time analytics.

• HDFS functions as the primary storage system for Hadoop, enabling distributed storage and processing of large data sets.

• HDFS is a visualization tool for big data analysis.

• HDFS is a programming language used in Hadoop.

What does MapReduce do in the Hadoop framework?

• MapReduce is used for real-time data streaming.

• MapReduce processes large data sets by dividing tasks into 'Map' and 'Reduce' functions.

• MapReduce stores data in a centralized database.

• MapReduce only works with small data sets.

How does Hadoop handle data redundancy?

• Hadoop replicates data blocks across multiple nodes in HDFS to handle data redundancy.

• Hadoop uses a database to manage data redundancy.

• Hadoop compresses data to eliminate redundancy.

• Hadoop stores data in a single location to avoid duplication.

What is the significance of the Hadoop Distributed File System?

• HDFS is a relational database management system.

• HDFS is primarily used for real-time data processing.

• HDFS enables efficient storage and processing of large datasets in a distributed computing environment.

• HDFS is designed for small-scale data storage.

What are some ways to integrate R with Hadoop?

• Use R packages like 'dplyr' and 'ggplot2' for data visualization.

• Integrate R with Hadoop using SQL queries only.

• Use R packages like 'rhdfs', 'rmr2', and 'sparklyr' to integrate R with Hadoop.

• Use R to directly manipulate Hadoop's file system without any packages.

What is the role of YARN in the Hadoop ecosystem?

• YARN is responsible for resource management and job scheduling in Hadoop.

• YARN is a data storage system for Hadoop.

• YARN is a programming language used in Hadoop.

• YARN is primarily used for data visualization.

Which of the following is a feature of Apache Hive?

• Hive is a real-time data processing engine.

• Hive allows users to write SQL-like queries to interact with data stored in Hadoop.

• Hive is used for data compression only.

• Hive is a programming language for Hadoop.