Which among the following is a distributed data warehouse in Hadoop?

Sqoop
4. ___________ is a distributed data warehouse system for Hadoop. Explanation: Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

Which of the following components reside on a Namenode?

Namenode is the background process that runs on the master node on the Hadoop. There is only one namenode in a cluster.It stores the metadata(data about data) about data stored on the slave nodes such address of the Blocks, number of blocks stored, directory structure of any node etc.

What is code and data locality?

Data locality is the process of moving computation to the node where that data resides, instead of vice versa — helping to minimize network congestion and improve computation throughput. Data locality solves that challenge by moving the significantly lighter processing code to the data instead.

What are the types of locality?

There are two basic types of reference locality – temporal and spatial locality. Temporal locality refers to the reuse of specific data and/or resources within a relatively small time duration. Spatial locality (also termed data locality) refers to the use of data elements within relatively close storage locations.

Why is data locality so important within HDFS yarn?

Advantages of data locality in Hadoop High Throughput – Data locality in Hadoop increases the overall throughput of the system. Faster Execution – In data locality, framework move code to the node where data resides instead of moving large data to the node. Thus, this makes Hadoop faster.

Which of the following platforms does Hadoop run on?

Which of the following platforms does Hadoop run on? Explanation: Hadoop has support for cross-platform operating system.

What is data locality in Hadoop mapper?

Data Locality in Hadoop Data Locality in Hadoop refers to the “proximity” of the data with respect to the Mapper tasks working on the data. Why is Data Locality important? When a dataset is stored in HDFS, it is divided in to blocks and stored across the DataNodes in the Hadoop cluster.

What is data locality in MapReduce?

Data locality in MapReduce refers to the ability to move the computation close to where the actual data resides on the node, instead of moving large data to computation. This minimizes network congestion and increases the overall throughput of the system. In Hadoop, datasets are stored in HDFS.

What is data locality in networking?

Data locality refers to the ability to move the computation close to where the actual data resides on the node, instead of moving large data to computation. This minimizes network congestion and increases the overall throughput of the system.

How is a map job assigned to a DataNode?

A Map job is assigned to a datanode according to the availability of the data, ie it assigns the task to a datanode which is closer to or stores the data on its local disk. Data locality refers the process of placing computation near to data , which helps in high throughput and faster execution of data.