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Sijeesh Kunnotharamal

This training provides you with proficiency in all the steps required to operate and sustain a Cloudera Hadoop Cluster which includes Planning, Installation,Configuration ,Active Directory Integration , Securing Cluster using Kerberos ,HDFS Access Control List,High Availability ,Hadoop Eco system components in detail and Upgrading Cloudera Manager and CDH . This training will provide hands-on preparation for the real-world challenges faced by Hadoop Administrators. The course curriculum follows Cloudera Hadoop distribution.

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What's inside

Syllabus

Installation of Cloudera Manager and CDH
Deploying Virtual Machines on Amazon Web Service
Code and Documentation Repository
Configuring Prerequisites for Hadoop Installation
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Cloudera Data Platform is relatively new offering from Cloudera , that contains best tools from Hortonworks Data Platform ( HDP ) and Cloudera Enterprise Data Hub ( CDH ) .

CDP is making use of Cloudera Manager for deployment  and managing of Clusters.

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Read about what's good
what should give you pause
and possible dealbreakers
Provides hands-on experience with real-world challenges faced by Hadoop administrators, making it highly practical for those in the field
Covers Active Directory integration and Kerberos security, which are essential for securing Hadoop clusters in enterprise environments
Includes upgrading Cloudera Manager and CDH, which are critical tasks for maintaining a healthy and up-to-date Hadoop cluster
Explores High Availability configurations for NameNode and Resource Manager, which are crucial for ensuring continuous operation of Hadoop services
Focuses on Cloudera Data Platform (CDP), a relatively new offering, and its integration with tools from Hortonworks Data Platform (HDP)
Requires familiarity with Amazon Web Services and Azure Cloud, which may pose a barrier for learners without prior cloud experience

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Reviews summary

Comprehensive cloudera hadoop administration

Learners say this course offers comprehensive coverage of Cloudera Hadoop administration, including essential tasks, security (Kerberos, AD), and high availability. The hands-on labs are considered valuable for practical understanding, and recent updates, including CDP, keep the material relevant. However, some students note that setting up the lab environment can be tricky and time-consuming. It is also suggested the course assumes some prior knowledge and that certain topics or sections could benefit from more depth or a slower pace.
Some sections could use more detail or slower pace.
"Some parts felt a bit rushed, but overall solid."
"Decent overview but felt some topics lacked depth."
"Needed external resources [for depth]."
"Felt the pace was fast assuming some background."
Valuable practical exercises included.
"The labs were super helpful, though setting up the environment initially took some time."
"Labs reinforce concepts well."
"Fantastic practical training. ... Labs are key."
"Labs worked smoothly for me. Excellent course structure."
"The hands-on approach really solidified the concepts for me."
Wide range of admin tasks covered.
"Excellent course, covered all the essential admin tasks."
"Good content, particularly the Kerberos and HA sections."
"Best course I've taken on Cloudera administration. Comprehensive and practical."
"Active Directory integration was well-covered."
"Covered CDH and CDP migration aspects which is highly relevant now."
Course is updated with current technologies.
"The recent updates to CDP are a great addition."
"The new CDP modules are relevant."
"Updated content is much better! Kerberos part was clearly explained."
"Covered CDH and CDP migration aspects which is highly relevant now."
"Good to see the course includes Cloudera Data Platform."
May not be suitable for complete beginners.
"Not for beginners. Assumes prior knowledge."
"You should have some basic Linux and Hadoop concepts before starting."
"Might be challenging if you're completely new to the Hadoop ecosystem."
"Felt the pace was fast assuming some background."
Initial lab environment setup can be tricky.
"...though setting up the environment initially took some time."
"The labs were okay, but I struggled with environment setup a lot. Needed external resources."
"The labs were frustrating to get working, dependencies issues."
"Environment setup instructions could be clearer for newcomers."
"Getting the lab environment ready required significant effort."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Cloudera Hadoop Administration with these activities:
Review Linux System Administration Fundamentals
Solidify your understanding of Linux system administration concepts, as Hadoop administration relies heavily on Linux.
Show steps
  • Review basic Linux commands and utilities.
  • Practice user and group management.
  • Familiarize yourself with file system navigation and permissions.
Brush up on Networking Concepts
Reinforce your understanding of networking principles, as Hadoop clusters require a well-configured network.
Browse courses on Networking Concepts
Show steps
  • Review TCP/IP fundamentals and subnetting.
  • Understand DNS and DHCP configurations.
  • Familiarize yourself with basic network troubleshooting tools.
Follow Cloudera Manager Installation Tutorials
Practice installing Cloudera Manager in a virtualized environment to gain hands-on experience.
Show steps
  • Set up a virtual machine environment (e.g., VirtualBox, VMware).
  • Download and install Cloudera Manager following the official documentation.
  • Troubleshoot common installation issues.
Four other activities
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Show all seven activities
Practice HDFS Commands
Reinforce your understanding of HDFS by practicing common commands for file management and data access.
Show steps
  • Create, move, copy, and delete files and directories in HDFS.
  • Set file permissions and ownership in HDFS.
  • View file contents and directory listings in HDFS.
Set up a small Hadoop Cluster
Build a small, multi-node Hadoop cluster in a virtualized environment to solidify your understanding of cluster configuration and management.
Show steps
  • Provision multiple virtual machines for the cluster nodes.
  • Install and configure Hadoop on each node.
  • Configure HDFS, YARN, and other Hadoop components.
  • Test the cluster by running a simple MapReduce job.
Document a Kerberos Integration Procedure
Create a detailed guide on integrating Hadoop with Kerberos for secure authentication, focusing on clarity and completeness.
Show steps
  • Research the Kerberos integration process for Hadoop.
  • Document each step of the configuration, including commands and configuration file changes.
  • Test the integration and document any troubleshooting steps.
Contribute to Hadoop Documentation
Improve your understanding of Hadoop by contributing to the official documentation, fixing errors, or adding new content.
Show steps
  • Identify areas in the Hadoop documentation that need improvement.
  • Submit a patch with your changes following the Hadoop contribution guidelines.

Career center

Learners who complete Cloudera Hadoop Administration will develop knowledge and skills that may be useful to these careers:
Hadoop Administrator
A Hadoop Administrator is responsible for the maintenance, configuration, and reliable operation of a Hadoop cluster. This course directly aligns with the responsibilities of a Hadoop Administrator, as it covers planning, installation, configuration, and upgrading Cloudera Manager and CDH. The hands-on experience provided by the course directly prepares you for real-world challenges in Hadoop administration. The course also addresses Active Directory integration and securing the cluster using Kerberos and HDFS Access Control List, all vital for a Hadoop Administrator.
Data Engineer
A Data Engineer builds and maintains the data infrastructure that enables data analysis and data science. This course helps build a foundation for a career as a Data Engineer, particularly in environments utilizing Cloudera Hadoop distributions. It emphasizes the practical aspects of managing a Cloudera Hadoop cluster, including installation, configuration, and security. A Data Engineer benefits greatly from the course's focus on integrating Hadoop with Active Directory, ensuring secure and efficient data access. For a Data Engineer working with large datasets, understanding Hadoop administration is essential.
Big Data Architect
A Big Data Architect designs and implements the overall architecture of big data systems. This course may assist a Big Data Architect expand on their understanding of the Cloudera Hadoop distribution. High availability, Kerberos security, and the integration of various Hadoop ecosystem components like Hive, HBase, and Kafka are all crucial areas covered in the course. The Big Data Architect needs to understand the practical considerations of managing a Cloudera Hadoop environment and this course may provide value.
Cloud Engineer
A Cloud Engineer is responsible for implementing, managing, and maintaining cloud infrastructure. This course may be helpful to the Cloud Engineer who works with big data solutions, especially those involving Hadoop clusters. The course covers deploying virtual machines on Amazon Web Services and Azure, which are essential skills for a Cloud Engineer working with cloud-based Hadoop deployments. Furthermore, the focus on Active Directory integration and security aspects is helpful for ensuring secure and compliant cloud environments. A Cloud Engineer should take this course to get familiar with Hadoop administration in the cloud.
Systems Administrator
A Systems Administrator is responsible for the upkeep, configuration, and reliable operation of computer systems. This course may be useful for Systems Administrators working with Hadoop clusters, especially those using the Cloudera distribution. It dives deep into the practical aspects of Hadoop cluster management. Key areas include configuring prerequisites for Hadoop installation, installing and configuring MySQL databases for Cloudera Manager, and integrating Linux hosts with Active Directory for centralized authentication. The Systems Administrator can increase their knowledge with this course.
Database Administrator
A Database Administrator manages and maintains database systems, ensuring their availability and performance. This course may be helpful for Database Administrators who are integrating traditional databases with Hadoop ecosystems. The course covers installing and configuring MySQL databases for Cloudera Manager, a critical skill for managing the metadata and configuration information of the Hadoop cluster. Understanding how to integrate database systems with Hadoop can enable the Database Administrator to build scalable and efficient data solutions.
Security Engineer
A Security Engineer is responsible for designing, implementing, and maintaining security measures to protect computer systems and networks. This course may assist a Security Engineer working with Hadoop clusters secure those systems. It covers securing the cluster using Kerberos and HDFS Access Control Lists, essential for protecting sensitive data within the Hadoop environment. The course's focus on Active Directory integration ensures that security policies are consistently applied across the entire infrastructure. The Security Engineer would benefit through stronger understanding of Hadoop security.
Solutions Architect
A Solutions Architect designs and implements technology solutions to address business problems. This course may provide value to a Solutions Architect working with big data projects involving Hadoop. The course covers installation and configuration of various Hadoop ecosystem components, such as Hive, HBase, and Kafka, which are commonly used in data processing pipelines. Understanding how to deploy and manage these components can help the Solutions Architect design scalable and efficient data solutions. In short, it could potentially increase the architect's depth of knowledge.
Data Analyst
A Data Analyst examines data to draw conclusions about that information. Learning about Hadoop Administration may allow a Data Analyst to better manipulate data. In particular, this course may be valuable to Data Analysts who work with large datasets stored in Hadoop clusters as it introduces Hadoop ecosystem components such as Hive. The course helps the Data Analyst understand how the data infrastructure is managed, enabling them to better collaborate with data engineers and administrators to access and analyze data.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data to identify trends and insights that can improve business decision-making. This course may be useful for Business Intelligence Analysts who need to access and analyze data stored in Hadoop clusters. The course introduces Hadoop ecosystem components like Hive and Impala, which are often used to query and analyze large datasets. By understanding how these components are installed and configured, the Business Intelligence Analyst can better leverage Hadoop for data analysis.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models and systems. This course may be useful for Machine Learning Engineers who work with large datasets stored in Hadoop clusters. The course introduces Hadoop ecosystem components, facilitating data access, processing, and feature engineering. Understanding Hadoop administration practices can help Machine Learning Engineers optimize their models, leading to more accurate and efficient results.
Software Developer
A Software Developer designs, codes, and tests software applications. This course may be useful for Software Developers working on applications that interact with Hadoop clusters. Knowing how to install, configure, and manage Hadoop environments can help Software Developers build more robust and scalable applications. Additionally, the course's focus on integrating Hadoop with Active Directory and securing the cluster can ensure that applications adhere to security best practices.
Technical Support Engineer
A Technical Support Engineer provides technical assistance to customers, resolving hardware and software issues. This course may be useful for Technical Support Engineers who support Hadoop environments. Understanding the installation, configuration, and maintenance of Hadoop clusters enables them to troubleshoot issues more effectively. The course's focus on Active Directory integration and security aspects helps them address security-related problems in Hadoop environments.
Project Manager
A Project Manager plans, executes, and closes projects, ensuring they are completed on time and within budget. This course may be helpful for Project Managers who oversee big data projects involving Hadoop. Understanding the technical aspects of Hadoop administration enables them to better manage project resources and timelines. The course can help project managers gain insights into the challenges and complexities of managing a Hadoop cluster, allowing them to make informed decisions.
Technical Consultant
A Technical Consultant provides expert advice and guidance to clients on technology-related matters. This course can enhance the Technical Consultant's understanding of Hadoop administration. The course covers planning, installation, configuration, Active Directory integration, securing clusters, and upgrading Cloudera Manager and CDH. This comprehensive knowledge will allow the Technical Consultant to offer more informed and practical recommendations to clients implementing or managing Hadoop solutions.

Reading list

We haven't picked any books for this reading list yet.
Provides a collection of design patterns for using Hadoop MapReduce. It valuable resource for anyone who wants to learn more about MapReduce and how to use it to design and implement data processing applications.
Provides a gentle introduction to Hadoop, including how to install, configure, and use Hadoop for data processing. It valuable resource for anyone who wants to learn more about Hadoop but is new to the topic.
Provides a comprehensive overview of Apache Spark, including how to install, configure, and use Spark for data processing. It valuable resource for anyone who wants to learn more about Spark and how to use it.
Provides a comprehensive overview of Hadoop operations, including installation, configuration, and troubleshooting. It valuable resource for anyone who wants to learn more about how to operate Hadoop clusters.
Provides a hands-on introduction to Hadoop, including how to install, configure, and use Hadoop to process large datasets. It valuable resource for anyone who wants to learn more about Hadoop and how to use it for data processing.
Provides a comprehensive overview of big data analytics, including how to use Hadoop and other big data technologies to analyze large datasets. It valuable resource for anyone who wants to learn more about big data analytics and how to use it.
Provides a comprehensive overview of the Hortonworks Data Platform (HDP), an open-source big data platform. It valuable resource for anyone who wants to learn more about HDP and how to use it to build and manage big data applications.
Focuses on the practical aspects of managing and operating Hadoop clusters, including topics such as security, performance tuning, and disaster recovery.
Provides a hands-on introduction to Hadoop, with a focus on using the Hadoop ecosystem for data analysis and processing.
Provides a comprehensive guide to big data analytics using Hadoop, covering topics such as data ingestion, data processing, and data visualization.
Provides a beginner-friendly introduction to Hadoop, covering its concepts and use cases in a simple and easy-to-understand manner.
Provides a gentle introduction to Hadoop, including how to install, configure, and use Hadoop for data processing. It valuable resource for anyone who wants to learn more about Hadoop but is new to the topic.
Offers a collection of techniques and patterns for working with Hadoop, including HDFS and MapReduce. It's a practical guide with numerous examples to help users solve common big data problems. It's valuable for developers looking for practical applications and solutions.
Provides a practical guide to operating Hadoop clusters. It good choice for anyone who wants to learn how to manage and maintain Hadoop clusters.
Provides a comprehensive overview of Hadoop, including HDFS, MapReduce, and YARN. It good starting point for anyone who wants to learn more about Hadoop.

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