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DEMO - Hadoop Administration and Cluster Management
DEMO - Hadoop Administration and Cluster ManagementBig Data Courses |
| Categories | Most Recent | Top Rated | Popular Courses |
 | Uploader | Date Added | Views | Rating |
| Superadmin | 26.05.18 | 544 | No Rating | |
| Description | ||||
Hadoop is one of the most popular Big Data solutions for reliable and scalable distributed computing and storage. Administering your Hadoop cluster is the key to exploiting its rich features, and get the most out of it. This course focuses on planning, deploying and monitoring your cluster’s performance and looking at the optimal performance and health of this organizational cluster infrastructure. This course will help you understand the basics of Hadoop administration, with comprehensive coverage of various administrative tasks using the popular Apache Hadoop distribution. This video course will start by installing the Apache Hadoop for cluster installation and configuring the required services. You will also learn various cluster operations like validations, and expanding and shrinking Hadoop services. You will then move onto gain a better understanding of administrative tasks like planning your cluster, monitoring, logging, security, troubleshooting and best practices. Techniques to keep your Hadoop clusters highly available and reliant are also covered in this course. By the end of this course, you will have a thorough understanding of the concepts related to Hadoop administration. What You Will Learn Learn about the Apache Hadoop user interface and it’s components Plan, install and configure core Hadoop services on a Cluster Configure High Availability for your Hadoop Cluster Validate the Cluster using HDFS, Map Reduce and Spark Understand Cluster Life-Cycle and Performance tuning of a Hadoop Cluster Secure, monitor and troubleshoot your Hadoop Cluster Table of Contents INSTALLING APACHE HADOOP The Course Overview Navigation of GitBash Navigation of Vagrant Navigation of VirtualBox Planning a Single Node Setup Install Apache Hadoop APACHE HADOOP Apache Hadoop Overview Hadoop Distributed File System (HDFS) YARN Overview MapReduce HADOOP CLUSTER INSTALLATION Planning Hadoop Services Placement Planning ZooKeeper Placement Planning HDFS Service Placement Planning YARN Planning Spark Services VALIDATING THE CLUSTER HDFS Concepts HDFS Data Movement HDFS Admin Commands MapReduce Jobs Spark Jobs MANAGE HADOOP SERVICES Start/Stop Services Manage Cluster Using Ambari Hadoop Upgrade SCALING CLUSTER Scaling Cluster – Part 1 Scaling Cluster – Part 2 HIGH AVAILABILITY HDFS Masters HA Configuration YARN Masters HDFS SECURITY Linux ACLs HDFS ACLs Security – Part 1 HDFS ACLs Security – Part 2 Hadoop Users and Groups MONITORING AND LOGGING NameNode UI Apache Hadoop Auditing Hadoop Metrics Hadoop Logs and Monitoring CLUSTER TROUBLESHOOTING Hadoop Troubleshooting – Part 1 Hadoop Troubleshooting – Part 2 | ||||
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