Data Analytics for IoT Chapter 10

<p>It stores the actual data in the HDFS file system. (D)</p> Signup and view all the answers

<p>It accepts and processes tasks assigned by the JobTracker. (B)</p> Signup and view all the answers

<p>To allocate compute resources globally to applications (C)</p> Signup and view all the answers

<p>Application Master (A)</p> Signup and view all the answers

<p>It allows prioritization of jobs based on resource needs (D)</p> Signup and view all the answers

<p>Applications Manager (D)</p> Signup and view all the answers

<p>Oldest job in the queue is scheduled first (C)</p> Signup and view all the answers

<p>A bundle of allocated resources for an application task (A)</p> Signup and view all the answers

<p>It executes and manages user processes on individual machines (A)</p> Signup and view all the answers

<p>To read data from a distributed file system and partition it. (B)</p> Signup and view all the answers

<p>Intermediate data with the same key is aggregated. (A)</p> Signup and view all the answers

<p>It aggregates intermediate data of the same key prior to sending it to the Reduce task. (D)</p> Signup and view all the answers

<p>JobTracker (D)</p> Signup and view all the answers

<p>Heartbeat messages (B)</p> Signup and view all the answers

<p>Through various scheduling algorithms, with FIFO as the default. (A)</p> Signup and view all the answers

<p>Resource management has been separated from the processing engine. (D)</p> Signup and view all the answers

<p>To avoid task failures from crashing the entire TaskTracker. (B)</p> Signup and view all the answers

An open-source framework for distributed batch processing of massive datasets.

A key component of Hadoop that stores the directory structure of all files in the file system, but not the actual data.

A Hadoop service that manages the distribution of MapReduce tasks to nodes in the cluster, aiming to place tasks on nodes that have the relevant data.

A node in a Hadoop cluster that accepts Map, Reduce, and Shuffle tasks from the JobTracker, and has a limited number of slots for tasks.

A node in the Hadoop cluster that stores actual data within the HDFS file system.

A processing framework that splits a large task into multiple smaller tasks, maps the tasks to different nodes, and reduces a the results to a final output.

The first phase of a MapReduce job, where data is read from the file system and processed into key-value pairs.

The second phase of a MapReduce job. It combines data with the same key from the Map phase to create the final output.

An optional step in the MapReduce process. It aggregates data on the same key before transferring it to the Reduce phase.

A resource management system that manages resources within a Hadoop cluster. It's the core part of Hadoop 2.0, responsible for running applications.

YARN is a resource manager for Hadoop that acts as an operating system for the cluster, allowing different processing engines like MapReduce, Tez, and Storm to run on the same infrastructure.

YARN separates resource management (ResourceManager) from job lifecycle management (Application Master), improving efficiency and flexibility.

ResourceManager is responsible for managing all resources in the Hadoop cluster and assigning them to applications.

The Scheduler is a pluggable component of the ResourceManager that determines how to allocate resources to different applications based on specific scheduling policies.

The Application Master manages the lifecycle of a single application, negotiating resources from the ResourceManager and coordinating with Node Managers to execute tasks.

Node Manager manages the resources and processes on a specific node in the Hadoop cluster, executing tasks assigned by the Application Masters.

A Container represents a specific set of resources (CPU, memory, network) allocated by the ResourceManager to an application for executing a task on a node.