Description
Curriculum
Hortonworks Data Platform (HDP) provides a complete Hadoop ecosystem used for storing and processing large datasets. It includes core components like HDFS, YARN, MapReduce, Hive, Pig, and HBase.
Before installing HDP, ensure the following requirements are met:
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Linux operating system (CentOS / Ubuntu / RedHat)
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Java Development Kit (JDK) installed
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Proper network connectivity between nodes
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Passwordless SSH configured
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Minimum hardware resources for cluster nodes
HDP simplifies Big Data infrastructure by integrating multiple Hadoop ecosystem tools into a single platform.
Ambari Installation
Apache Ambari is a web-based tool used to install, manage, and monitor Hadoop clusters.
Key features of Ambari include:
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Easy Hadoop cluster deployment
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Web-based management dashboard
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Centralized configuration management
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Monitoring and performance metrics
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Service control (start, stop, restart)
Ambari simplifies cluster management by automating the installation and configuration of Hadoop services.
Curriculum
- 17 Sections
- 0 Lessons
- 40 Hours
Expand all sectionsCollapse all sections
- Module 1: Introduction to Hadoop AdministrationThis module introduces Hadoop Administration concepts, Hadoop ecosystem components, cluster architecture, and the responsibilities of a Hadoop Administrator. Students will learn how Hadoop clusters are managed in enterprise Big Data environments.0
- Module 2: Hadoop Architecture and Core ComponentsStudents will explore Hadoop architecture, including HDFS, YARN, MapReduce, NameNode, DataNode, ResourceManager, NodeManager, and cluster communication. The module provides a strong foundation for managing Hadoop infrastructure.0
- Module 3: Linux Fundamentals for Hadoop AdministratorsThis module covers essential Linux commands, shell scripting, file system management, process monitoring, user administration, permissions, networking, and system troubleshooting required for Hadoop administration.0
- Module 4: Hadoop Installation and Cluster SetupStudents will learn how to install Hadoop, configure single-node and multi-node clusters, set up SSH, configure environment variables, and validate Hadoop services. The module focuses on building production-ready Hadoop environments.0
- Module 5: HDFS AdministrationThis module teaches HDFS architecture, NameNode management, DataNode operations, replication management, file system maintenance, balancing, checkpoints, snapshots, and storage optimization techniques.0
- Module 6: YARN Administration and Resource ManagementStudents will learn YARN configuration, scheduler management, resource allocation, queue management, application monitoring, workload balancing, and cluster resource optimization.0
- Module 7: Hadoop Cluster Monitoring and MaintenanceThis module covers monitoring tools, cluster health checks, log management, service monitoring, capacity planning, performance metrics, and proactive maintenance strategies for Hadoop environments.0
- Module 8: Hadoop Security AdministrationStudents will explore Hadoop security concepts including Kerberos authentication, authorization, encryption, access control lists (ACLs), data protection, auditing, and governance best practices.0
- Module 9: User and Access ManagementThis module focuses on user administration, group management, role-based access control, permissions management, quota management, and enterprise security policies for Hadoop clusters.0
- Module 10: Hive AdministrationStudents will learn Hive installation, configuration, metastore management, security implementation, performance tuning, partition management, and administrative best practices for enterprise Hive environments.0
- Module 11: HBase Administration0
- Module 12: Sqoop, Flume, and Data Ingestion AdministrationStudents will explore administration and management of Sqoop and Flume services, data ingestion pipelines, connectivity configuration, monitoring, troubleshooting, and integration with enterprise systems.0
- Module 13: Performance Tuning and Troubleshooting0
- Module 14: Backup, Recovery, and High AvailabilityStudents will learn disaster recovery planning, NameNode High Availability (HA), backup procedures, failover configurations, data recovery, cluster restoration, and business continuity strategies.0
- Module 15: Hadoop Administration with Cloud PlatformsThis module introduces Hadoop deployment and administration on cloud platforms such as AWS, Azure, and Google Cloud. Students will learn cloud-based cluster management, scalability, and hybrid deployment strategies.0
- Module 16: Real-World Administration ProjectsStudents will work on practical administration scenarios involving cluster deployment, security implementation, monitoring, performance optimization, backup management, and production support operations.0
- Module 17: Certification and Career PreparationThe final module focuses on Hadoop Administrator certification preparation, interview questions, troubleshooting scenarios, resume building, portfolio development, and career guidance. Students will be prepared for roles such as Hadoop Administrator, Big Data Administrator, Cluster Administrator, Data Platform Engineer, and Big Data Operations Engineer.0
Review
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