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Top 5 Hadoop Admin Tasks
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
The following blogs will help you understand the significance of Hadoop Administration training:
http://www.edureka.co/blog/why-should-you-go-for-hadoop-administration-course/
http://www.edureka.co/blog/how-to-become-a-hadoop-administrator/
http://www.edureka.co/blog/hadoop-admin-responsibilities/
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This document provides an introduction to Hadoop administration. It discusses key topics like understanding big data and Hadoop, Hadoop components, configuring and setting up a Hadoop cluster, commissioning and decommissioning data nodes, and includes demos of setting up a cluster and managing the secondary name node. The overall objectives are to help students understand Hadoop fundamentals, the responsibilities of an administrator, and how to manage a Hadoop cluster.
3 map r installation & setup administration course description
This one-day course teaches system administrators how to plan, install, configure, manage and troubleshoot a MapR cluster. The course covers MapR architecture, installation, initial configuration, managing the cluster with MapR Control System, configuring users and volumes, and accessing the cluster via NFS and MapR Client. Upon completion, students have the option to take the MapR Certified Administrator certification exam.
Administer Hadoop Cluster
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
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The Hadoop Cluster Administration course at Edureka starts with the fundamental concepts of Apache Hadoop and Hadoop Cluster. It covers topics to deploy, manage, monitor, and secure a Hadoop Cluster. You will learn to configure backup options, diagnose and recover node failures in a Hadoop Cluster. The course will also cover HBase Administration. There will be many challenging, practical and focused hands-on exercises for the learners. Software professionals new to Hadoop can quickly learn the cluster administration through technical sessions and hands-on labs. By the end of this six week Hadoop Cluster Administration training, you will be prepared to understand and solve real world problems that you may come across while working on Hadoop Cluster.
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This document provides an overview of Hadoop and MapReduce concepts. It discusses:
- HDFS architecture with NameNode and DataNodes for metadata and data storage. HDFS provides reliability through block replication across nodes.
- MapReduce framework for distributed processing of large datasets across clusters. It consists of map and reduce phases with intermediate shuffling and sorting of data.
- Hadoop was developed based on Google's papers describing their distributed file system GFS and MapReduce processing model. It allows processing of data in parallel across large clusters of commodity hardware.
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This document provides an overview of a Hadoop administration course offered on the edureka.in website. It describes the course topics which include understanding big data, Hadoop components, Hadoop configuration, different server roles, and data processing flows. It also outlines how the course works, with live classes, recordings, quizzes, assignments, and certification. The document then provides more detail on specific topics like what is big data, limitations of existing solutions, how Hadoop solves these problems, and introductions to Hadoop, MapReduce, and the roles of a Hadoop cluster administrator.
Bn1028 demo hadoop administration and development
The document is an introduction to Hadoop administration and development training. It discusses big data challenges and how Hadoop provides a framework to process and analyze large datasets across clusters of commodity hardware. Specifically, it covers what Hadoop is and its ecosystem including HDFS, MapReduce, Pig, Hive, HBase and other related technologies. It also discusses use cases, architecture, benefits and how companies are using Hadoop to solve big data problems.
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Top 5 Hadoop Admin Tasks
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
The following blogs will help you understand the significance of Hadoop Administration training:
http://www.edureka.co/blog/why-should-you-go-for-hadoop-administration-course/
http://www.edureka.co/blog/how-to-become-a-hadoop-administrator/
http://www.edureka.co/blog/hadoop-admin-responsibilities/
Introduction to Hadoop Administration
This document provides an introduction to Hadoop administration. It discusses key topics like understanding big data and Hadoop, Hadoop components, configuring and setting up a Hadoop cluster, commissioning and decommissioning data nodes, and includes demos of setting up a cluster and managing the secondary name node. The overall objectives are to help students understand Hadoop fundamentals, the responsibilities of an administrator, and how to manage a Hadoop cluster.
3 map r installation & setup administration course description
This one-day course teaches system administrators how to plan, install, configure, manage and troubleshoot a MapR cluster. The course covers MapR architecture, installation, initial configuration, managing the cluster with MapR Control System, configuring users and volumes, and accessing the cluster via NFS and MapR Client. Upon completion, students have the option to take the MapR Certified Administrator certification exam.
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The Hadoop Cluster Administration course at Edureka starts with the fundamental concepts of Apache Hadoop and Hadoop Cluster. It covers topics to deploy, manage, monitor, and secure a Hadoop Cluster. You will learn to configure backup options, diagnose and recover node failures in a Hadoop Cluster. The course will also cover HBase Administration. There will be many challenging, practical and focused hands-on exercises for the learners. Software professionals new to Hadoop can quickly learn the cluster administration through technical sessions and hands-on labs. By the end of this six week Hadoop Cluster Administration training, you will be prepared to understand and solve real world problems that you may come across while working on Hadoop Cluster.
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This document provides an overview of Hadoop and MapReduce concepts. It discusses:
- HDFS architecture with NameNode and DataNodes for metadata and data storage. HDFS provides reliability through block replication across nodes.
- MapReduce framework for distributed processing of large datasets across clusters. It consists of map and reduce phases with intermediate shuffling and sorting of data.
- Hadoop was developed based on Google's papers describing their distributed file system GFS and MapReduce processing model. It allows processing of data in parallel across large clusters of commodity hardware.
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This document provides an overview of a Hadoop administration course offered on the edureka.in website. It describes the course topics which include understanding big data, Hadoop components, Hadoop configuration, different server roles, and data processing flows. It also outlines how the course works, with live classes, recordings, quizzes, assignments, and certification. The document then provides more detail on specific topics like what is big data, limitations of existing solutions, how Hadoop solves these problems, and introductions to Hadoop, MapReduce, and the roles of a Hadoop cluster administrator.
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The Hadoop Cluster Administration course at Edureka starts with the fundamental concepts of Apache Hadoop and Hadoop Cluster. It covers topics to deploy, manage, monitor, and secure a Hadoop Cluster. You will learn to configure backup options, diagnose and recover node failures in a Hadoop Cluster. The course will also cover HBase Administration. There will be many challenging, practical and focused hands-on exercises for the learners. Software professionals new to Hadoop can quickly learn the cluster administration through technical sessions and hands-on labs. By the end of this six week Hadoop Cluster Administration training, you will be prepared to understand and solve real world problems that you may come across while working on Hadoop Cluster.
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- Monitoring the cluster using tools like Cloudera Manager and Nagios in the morning
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- Running regular utility tasks like files mergers and backups
- Scheduling and configuring jobs, analyzing failed tasks, and troubleshooting issues
- Upgrading and updating the Hadoop cluster as needed
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This document discusses achieving high availability in Hadoop clusters. It begins by introducing Hadoop and its core components like HDFS, YARN, and MapReduce. It then explains the single point of failure issue with the NameNode in Hadoop 1.x. Hadoop 2.0 introduced solutions like having an active and standby NameNode that log all filesystem edits to shared storage. ZooKeeper is used for failover detection and coordination. The document also discusses securing HDFS through access control lists and using Hadoop as a data warehouse with tools like Hive, Impala, and BI tools. Hands-on sections walk through setting up high availability for HDFS and YARN.
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