Cloudera Apache Hadoop Administration
Apache Hadoop Administration
Cloudera Apache Hadoop Administration Certificate


- Develop the ability to plan and size a Hadoop cluster according to specific organizational needs.
- Implement advanced cluster configuration techniques and practice resource management for optimal cluster efficiency.
- Learn best practices for routine cluster maintenance to ensure durability and reliability.
- Monitor Cloudera clusters effectively using built-in tools and respond to performance issues.
- Troubleshoot common cluster problems and recover from various failure scenarios.

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Fundamental Learnings
Training by Top Microsoft-Certified Trainers
1 Day of Live, Instructor-Led Sessions
Latest, Up-to-date Curriculum, Approved by Industry Experts
Access to a Digital Library of Learning Resources
Comprehensive Knowledge of Core Learnings
Blend of classroom sessions and hands-on training
Prerequisites for this Courese
Prerequisites and Eligibility
- Linux Fundamentals: Familiarity with Linux command line and basic system administration.
- Big Data Concepts: Understanding of distributed computing, Hadoop architecture, and key components like HDFS, YARN, and MapReduce.
- Networking Basics: Knowledge of network protocols and configuration for cluster environments.
- Data Processing Overview: Basic awareness of data processing concepts and related technologies.
- Willingness to Learn: Interest in mastering Cloudera-specific tools and best practices for Hadoop administration.

Things Included in the course learning
Course Curriculum
Things Included in the course learning
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What will I learn in this course
Output of this Course
- Understand the fundamentals of Cloudera Enterprise Data Hub and its role in the Hadoop ecosystem.
- Learn the process of installing and configuring Cloudera Manager and CDH for Hadoop administration.
- Configure and manage a Cloudera cluster to ensure high availability and performance.
- Master the Hadoop Distributed File System (HDFS) architecture and operations for data storage and management.
- Acquire skills to ingest data into HDFS using various methods and tools.
- Gain proficiency in using Hive and Impala for data querying and analytics.
- Understand the workings of YARN and MapReduce for resource management and job scheduling.
- Explore Apache Spark for in-memory data processing and gain insights into its deployment on a Hadoop cluster.
- Develop the ability to plan and size a Hadoop cluster according to specific organizational needs.
- Implement advanced cluster configuration techniques and practice resource management for optimal cluster efficiency.
- Learn best practices for routine cluster maintenance to ensure durability and reliability.
- Monitor Cloudera clusters effectively using built-in tools and respond to performance issues.
- Troubleshoot common cluster problems and recover from various failure scenarios.
- Install and manage Hue, the web interface for Hadoop, to simplify the use of Hadoop applications.
- Understand the importance of securing a Hadoop cluster and learn to apply security measures including Kerberos authentication.
Who is this course for
- IT Systems Administrators
- Data Infrastructure Engineers
- Database Administrators with a focus on big data
- Cloud Systems Administrators interested in Hadoop
- Big Data Architects
- Data Engineers
- DevOps Engineers working with big data deployments
- Technical Operations Personnel
- Data Analytics Professionals
- IT Managers overseeing data management solutions
- Security Engineers responsible for data security and compliance
- Technical Consultants specializing in Hadoop and big data ecosystems
- Professionals preparing for the Cloudera Certified Administrator for Apache Hadoop (CCAH) exam

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