Related Topics Big Data Question 65 How does HDFS balance the load on the cluster? Answer HDFS balances the load on the cluster by distributing data across multiple data nodes and ensuring that each node has a similar amount of data to store. HDFS achieves load balancing using several techniques, including: Block placement: When data […]
Related Topics Big Data Question 59 What is the block size in HDFS and why is it important? Answer Introduction: The block size in HDFS (Hadoop Distributed File System) is the amount of data that HDFS reads or writes as a single unit. By default, the block size in HDFS is 128 MB, but it
Related Topics Big Data Question 56 How does HDFS handle Namenode failures? Answer HDFS Federation is a feature introduced in Hadoop 2.x that allows a single Hadoop cluster to be divided into multiple, independent namespaces, each with its own set of NameNodes, DataNodes, and other related services. This enables the Hadoop cluster to scale to
Related Topics Big Data Question 53 How does HDFS provide high availability and reliability? Answer Hadoop Distributed File System (HDFS) provides high availability and reliability through a combination of techniques, including data replication, fault tolerance, and failover mechanisms. Data Replication: HDFS automatically replicates data across multiple DataNodes in the cluster. This provides redundancy and ensures
Related Topics Big Data Question 50 What is a Namenode and what is its role in HDFS? Answer The NameNode is a critical component of Hadoop Distributed File System (HDFS) and serves as the master node in the HDFS architecture. The primary role of the NameNode is to manage the file system namespace and control
Related Topics Big Data Question 47 What is HDFS and what is its purpose in the Big Data ecosystem? Answer Introduction :HDFS stands for Hadoop Distributed File System. It is a distributed file system that is designed to store large amounts of data across multiple commodity servers in a fault-tolerant manner. HDFS is part of
Related Topics Big Data Question 44 What is data denormalization and why is it important in Big Data? Answer Introduction: Data denormalization is the process of adding redundant data to a database to improve data retrieval times. It involves storing data in multiple tables to avoid complex join operations, which can be time-consuming and resource-intensive.
Related Topics Big Data Question 41 What is data partitioning and why is it important in Big Data? Answer Introduction :Data partitioning is the process of dividing large datasets into smaller, more manageable partitions or subsets. It involves splitting the data into smaller units, which can be processed independently and in parallel to achieve faster
Related Topics Big Data Question 37 What is data integrity and why is it important in Big Data? Answer Introduction : Data integrity refers to the accuracy and consistency of data throughout its lifecycle. It involves implementing measures to ensure that data is not altered or corrupted during storage, processing, or transmission. Specifications: In the
Related Topics Big Data Question 34 What is data quality and why is it important in Big Data? Answer Introduction: Data quality refers to the accuracy, completeness, consistency, reliability, and timeliness of data. It is an essential aspect of data management and analytics, as high-quality data is crucial for making informed decisions, generating insights, and achieving
