What are HDFS and YARN?
Posted On: Apr 07, 2020
HDFS: Hadoop File System or HDS is the main storage segment of the Hadoop. It stores various types of data in the distributed environment in the form of blocks. It follows the topology of slave and master. It is used to spread out in multiple machines to increase the trusts and decrease the costs.
Yarn: Yet Another Resource Negotiator or YARN is the execution system of the program that enhances the MapReduce (MR). YARN is used for scheduling, queuing and the management systems of the execution. It schedules the executions inside the containers. YARN is the framework for processing in Hadoop.
Related Questions
Subscribe Our NewsLetter
Never Miss an Articles from us.
Recent Articles
Featured Categories
- Common Interview Questions
- Python Flask Interview Questions
- NoSQL Interview Questions
- jQuery Interview Questions
- C Programming Interview Questions
- AngularJs Interview Questions
- Node JS Interview Questions
- JavaScript Interview Questions
- Core Java Interview Questions
- HTML Interview Questions
- Laravel Interview Questions
- Wordpress Interview Questions
- PHP Interview Questions
Cognizant Hadoop Interview Questions
Explain the architecture of Hadoop Eco system?
Apache Hadoop is used to process a huge amount of data. The architecture of Apache Hadoop consists of Hadoop components and various technologies which is helpful to solve complex data problems easily....
Cognizant Hadoop Interview Questions
What is Incremental load in hive?
In the hive, Incremental load is generally used to implement slowly changing dimensions. When you migrate your data to the Hadoop Hive, you might usually keep the slowly changing tables to sync up tab...
Cognizant Hadoop Interview Questions
What is difference between MR1 and MR2?
MR stands for MapReduce. The Difference between MR1 and MR2 are as follows: The earlier version of the map-reduce framework in Hadoop 1.0 is called MR1. The newer version of MapReduce is known as MR2...