Cloudera Apache Hadoop Administration Course Overview

Cloudera Apache Hadoop Administration Course Overview

The Cloudera Apache Hadoop Administration course is an in-depth training program designed to equip learners with the skills and knowledge required to effectively manage and maintain Cloudera clusters. The curriculum covers the fundamentals of the Cloudera Enterprise Data Hub, including its installation, configuration, and management.

Starting with Module 1, learners are introduced to the basics of Hadoop and the ecosystem. As they progress through the course, they will delve into Module 2, learning about the components and capabilities of the Cloudera Enterprise Data Hub. In Modules 3 to 5, students will gain hands-on experience with installing Cloudera Manager and CDH, configuring a Cloudera cluster, and understanding the intricacies of the Hadoop Distributed File System (HDFS).

Further modules like Module 6 on HDFS data ingest and Module 7 focusing on Hive and Impala provide practical insights into data management. Module 8 and Module 9 introduce learners to YARN, MapReduce, and Apache Spark, which are pivotal for big data processing.

Module 10 helps in planning a cluster, and Module 11 offers advanced configuration techniques. Module 12 is about managing resources, while Module 13 and Module 14 focus on cluster maintenance and monitoring, respectively. Module 15 helps learners develop troubleshooting skills, and Module 16 covers the installation and management of Hue. Finally, Module 17 addresses critical aspects of security within Hadoop clusters.

This course will assist learners in acquiring the expertise required to manage Cloudera environments effectively, ensuring high performance, reliability, and security of big data solutions.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 32 Hours)
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♱ Excluding VAT/GST

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Course Prerequisites

Certainly! To ensure that participants are prepared for the Cloudera Apache Hadoop Administration course and can fully benefit from its content, the following minimum prerequisites are recommended:

  • Basic understanding of Linux or Unix operating systems, including familiarity with command-line operations and simple scripting.
  • Fundamental knowledge of computer networking concepts.
  • Awareness of basic Data management and database concepts.
  • Some exposure to core system administration tasks such as managing users, configuring system settings, and installing software.
  • An introductory level of knowledge about the Hadoop ecosystem and its components is helpful but not mandatory.

These prerequisites are designed to establish a foundation that will help learners more effectively absorb the course material and participate in hands-on exercises. It's important to note that no prior experience with Cloudera software is required to begin this training.

Target Audience for Cloudera Apache Hadoop Administration

  1. The Cloudera Apache Hadoop Administration course is tailored for professionals seeking expertise in managing Hadoop clusters and big data solutions.

  2. Targeted Job Roles and Audience:

  • 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

Learning Objectives - What you will Learn in this Cloudera Apache Hadoop Administration?

Introduction to Course Learning Outcomes:

Gain in-depth knowledge of Cloudera Apache Hadoop Administration focusing on core components, cluster planning, resource management, and security, leading to efficient cluster deployment and management.

Learning Objectives and Outcomes:

  • 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.