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Summary hadoop overview
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Evolving Data Landscape: BigData Solutions - Hadoop
Ecosystem and Ongoing
Evolution
YARN Architecture and Components
YARN Architecture
ResourceManager
NodeManager
AppMaster
YARN Components
Scheduler
Application Manager
Hadoop Distributed File System (HDFS)
Understanding HDFS
HDFS Overview
HDFS Components
Name Node
Data Nodes
Data Storage and Processing in Distributed
Systems
HDFS Scalability and Commodity Hardware
Data Storage with HDFS
Configuring IP Address and Hostnames
HDFS Web UI and Command-line Interfaces
Data Replication and Scalability
,Hadoop MapReduce
Introduction to MapReduce
MapReduce Overview
Data Processing in MapReduce
MapReduce Programming Model
MapReduce in Hadoop Version 1: Job Tracker and
Task Tracker
Best Practices for MapReduce Development
Processing Telecom Data with MapReduce
Writing MapReduce Jobs for Common Use-cases
Setting Up and Configuring Hadoop
Setting Up Network and IP Addresses
Configuring Monitoring and Logging
Setting Up NameNode and DataNodes
Configuring a Hadoop cluster with two nodes
Installing Essential Software
Installing Java and Hadoop
Creating a passwordless SSH setup
Setting up root access and SSH connections
HDFS Components: Name Node and Data Nodes
Volunteer Computing and Big Data
Challenges
Volunteer Computing
Big Data Challenges
Cloudera and Hortonworks Setup
, Cloudera and Hortonworks Setup
Real-Time Insights: Big Data Analytics
Unlocking Hidden Value from Data: The Power of
Big Data
Cloud Architectures and Cluster Management
YARN: Yet Another Resource Negotiator
Introducing YARN: Yet Another Resource
Negotiator
Managing Growing Data Volumes:
Distributed Storage Solutions
Managing Growing Data Volumes: Distributed
Storage Solutions
Large-Scale Processing over Traditional
Databases
Hadoop Ecosystem Evolution: Resources and
Scheduling
Large-Scale Processing over Traditional
Databases
Hadoop Distributions
Apache Hadoop Distributions
Hadoop MapReduce: A Processing Model for Big
Data
MapReduce and YARN Components
Workflow
Understanding MapReduce Components and
Workflow
, Setting up root access and SSH connections
Data Storage with HDFS
Data Replication and Scalability
Launching Hadoop Cluster Services
Running MapReduce on a Hadoop Cluster
Configuring IP Address and Hostnames
Creating a passwordless SSH setup
Configuring a Hadoop cluster with two nodes
Setting Up Network and IP Addresses
Configuring Monitoring and Logging
Setting Up NameNode and DataNodes
Installing Essential Software
Installing Java and Hadoop
HDFS Web UI and Command-line Interfaces
HDFS Components: Name Node and Data Nodes
Writing MapReduce Jobs and YARN for
Common Use-cases
Writing MapReduce Jobs for Common Use-cases
Volunteer Computing and Big Data Challenges
Unlocking Hidden Value from
Data: The Power of Big Data -
Hadoop Ecosystem and Ongoing
Evolution
YARN Architecture and Components
Yet Another Resource Negotiator (YARN) -
resource management layer for Hadoop
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