Q1. What is Hadoop? Explain its architecture.
Ans - Hadoop is an open-source distributed computing framework that enables processing and storage of large datasets across clusters of computers. It is designed to handle structured, semi-structured, and unstructured data.
Hadoop architecture is based on a master-slave model. It consists of two main components, Hadoop Distributed File System (HDFS) and MapReduce.
HDFS is responsible for storing and managing large datasets across a cluster of machines. It breaks the data into blocks and replicates them across the cluster to ensure data availability and fault tolerance. It consists of two types of nodes, NameNode and DataNode. The NameNode stores the metadata of the files and directories in the cluster, while the DataNode stores the actual data blocks.
MapReduce is responsible for processing large datasets in a distributed environment. It consists of two types of nodes, JobTracker and TaskTracker. The JobTracker is responsible for scheduling the MapReduce jobs and monitoring the progress of the tasks. The TaskTracker is responsible for executing the tasks on the nodes in the cluster.
Overall, Hadoop architecture is designed to handle large datasets by distributing them across a cluster of machines and processing them in a parallel and fault-tolerant manner.
Q1. What are the key components of Hadoop?
Q1. What is HDFS? Explain its architecture.
Q1. What is MapReduce? Explain its working.
Q1. What are the different modes of running Hadoop?
Q1. What is a NameNode and a DataNode in HDFS?
Q1. What is a JobTracker and a TaskTracker in MapReduce?
Q1. What are the different types of data formats supported by Hadoop?
Q1. What is the default block size in Hadoop?
Q1. What is the significance of the replication factor in HDFS?
Q1. What is a block in HDFS?
Q1. What is the role of the Secondary NameNode in HDFS?
Q1. What is the difference between a block and a file in HDFS?
Q1. What is the default port number for the NameNode in HDFS?
Q1. What is the difference between Hadoop and HBase?
Q1. What is the difference between Hadoop and Spark?
Q1. What is the difference between Hadoop and Hive?
Q1. What is the difference between Hadoop and Pig?
Q1. What is the difference between Hadoop and Mahout?
Q1. What is the difference between Hadoop and Storm?
Q1. What is the difference between Hadoop and Cassandra?
Q1. What is the difference between Hadoop and MongoDB?
Q1. What is the difference between Hadoop and Impala?
Q1. What is the difference between Hadoop and Flink?
Q1. What is the difference between Hadoop and Kafka?
Q1. What is the difference between Hadoop and Flume?
Q1. What is the difference between Hadoop and Sqoop?
Q1. What is the difference between Hadoop and Oozie?
Q1. What is the difference between Hadoop and ZooKeeper?
Q1. What is the difference between Hadoop and Spark Streaming?
Q1. What is the difference between Hadoop and Apache Beam?
Q1. What is the difference between Hadoop and Samza?
Q1. What is the difference between Hadoop and Spring XD?
Q1. What is the difference between Hadoop and Drill?
Q1. What is the difference between Hadoop and Tez?
Q1. What is the difference between Hadoop and Presto?
Q1. What is the difference between Hadoop and BigQuery?
Q1. What is the difference between Hadoop and Snowflake?
Q1. What is the difference between Hadoop and Amazon Redshift?
Q1. What is the difference between Hadoop and Google Cloud Bigtable?
Q1. What is the difference between Hadoop and Google Cloud Dataproc?
Q1. What is the difference between Hadoop and Cloudera?
Q1. What is the difference between Hadoop and Hortonworks?
Q1. What is the difference between Hadoop and MapR?
Q1. What is the difference between Hadoop and IBM InfoSphere BigInsights?
Q1. What is the difference between Hadoop and Oracle Big Data?
Q1. What is the difference between Hadoop and Microsoft HDInsight?
Q1. What is the difference between Hadoop and Qubole?
Q1. What is the difference between Hadoop and Databricks?
Q1. What is the difference between Hadoop and Teradata?
FAQs for Top 50 Hadoop Interview Questions Answers for 2023
Q1. What is Hadoop?
A. To crack this question, provide a clear and concise definition of Hadoop. You can also talk about its origins, key features, and benefits. It's important to demonstrate your understanding of the technology and its role in big data processing.
Q2. Explain the Hadoop architecture.
A. To crack this question, be sure to understand the components of the Hadoop architecture, including HDFS, MapReduce, NameNode, DataNode, JobTracker, and TaskTracker. Explain how they work together to process and store large amounts of data.
Q3. What is the difference between HDFS and MapReduce?
A. To crack this question, explain that HDFS is the storage layer of Hadoop, responsible for storing and managing large datasets across a cluster of machines. MapReduce is the processing layer, responsible for processing large datasets in a distributed environment. You can also provide examples of how HDFS and MapReduce work together to process data.
Q4. What are the key features of Hadoop?
A. To crack this question, list some of the key features of Hadoop, including its ability to handle large volumes of data, fault tolerance, scalability, and flexibility. You can also provide examples of how Hadoop has been used in real-world applications.
Q5. What is the significance of the replication factor in HDFS?
A. To crack this question, explain that the replication factor determines how many copies of each data block are stored in the Hadoop cluster. The replication factor is important for ensuring data availability and fault tolerance. You can also explain how to adjust the replication factor to optimize performance and storage capacity.
