Global study shows that 84% of the organization had implemented Big Data projects. Hadoop is altering the way to handle Big Data because of its capability to process and store extremely big data sets. Here are few basic questions which give an overview of Hadoop technology:
What is The Hadoop Framework?
The Hadoop, developed by Apache Software Company, is an open source Java-based programming framework. It is used to process and store extremely big data sets in a dispersed computing environment. Hadoop supports computational capabilities and distributed storage. It is mainly used to analyse large volumes of data.
What is HDFS?
HDFS is a Java based file system, which provides reliable and scalable storage of data. It is designed to accommodate huge amount of servers. HDFS is demonstrated to scale 200 PB of data storage in a cluster of 4500 servers.
What is Map Reduce?
It is a model of programming which is associated for generating and processing very large data sets in a distributed, parallel or cluster system. Map Reduce splits the input sets into small chunks, which are processed parallel way in a clustered system.
Hadoop Read and Write Operation?
In Hadoop, Read and Write operation consists of single master and multiple slaves. The name node is the master and data nodes are the slave. Information is stored in name node and data is stored in data node.
Read Operation – To read a file from Hadoop, the client need to interact with the master as name node, which is the centrepiece metadata (data about the data)? Name code checks whether the client has the authority to access the data. If permitted, client can access the respective data nodes to read files.
Write Operation – Name node need to be accessed to write a file in HDFS. Client can directly write files to data nodes, which will create data line pipelines. The 1st data node will copy the file to the 2nd data node, which intern copies to 3rd data node. Once replicas are created, an acknowledgement is send.
What is Gateway or Edge Nodes?
Gateway or Edge Nodes are used to run client application and cluster administration tools. They are actually acted as a staging area where a data is transferred into Hadoop cluster.
What is Apache YARN?
YARN (Yet Another Resource Negotiator) in Apache Hadoop in a cluster management technology. It is one of the key features of this open source distributed processing framework. This improves Map Reduce implementation and supports varied processing approaches.
How does Secondary Name Node Complement Name Node?
Name node manages file system tree and all the metadata. The information is stored in local drive in two files, i.e., namespace image and edit log. The secondary name node basically helps to improve the latency by taking responsibility of collaborating edit logs with image from the name node.
What is Resource Manager (RM)?
Job tracker acts as a both history server and resource manager, which puts a restriction of scalability. RM is the master application which joins all the clustered resources and helps to manage spread applications running on the system.
More questions in Part 2….