Practical Guide to setup Hadoop and Spark Cluster using CDH from Udemy

Cloudera is one of the leading vendor for distributions related to Hadoop and Spark. As part of this Practical Guide, you will learn step by step process of setting up Hadoop and Spark Cluster using CDH.

Install - Demonstrate an understanding of the installation process for Cloudera Manager, CDH, and the ecosystem projects.

Set up a local CDH repository
Perform OS-level configuration for Hadoop installation
Install Cloudera Manager server and agents
Install CDH using Cloudera Manager
Add a new node to an existing cluster
Add a service using Cloudera Manager

Configure - Perform basic and advanced configuration needed to effectively administer a Hadoop cluster

Configure a service using Cloudera Manager
Create an HDFS user's home directory
Configure NameNode HA
Configure ResourceManager HA
Configure proxy for Hiveserver2/Impala

Manage - Maintain and modify the cluster to support day-to-day operations in the enterprise

Rebalance the cluster
Set up alerting for excessive disk fill
Define and install a rack topology script
Install new type of I/O compression library in cluster
Revise YARN resource assignment based on user feedback
Commission/decommission a node

Secure - Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practices

Configure HDFS ACLs
Install and configure Sentry
Configure Hue user authorization and authentication
Enable/configure log and query redaction
Create encrypted zones in HDFS

Test - Benchmark the cluster operational metrics, test system configuration for operation and efficiency

Execute file system commands via HTTPFS
Efficiently copy data within a cluster/between clusters
Create/restore a snapshot of an HDFS directory
Get/set ACLs for a file or directory structure
Benchmark the cluster (I/O, CPU, network)

Troubleshoot - Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenarios

Resolve errors/warnings in Cloudera Manager
Resolve performance problems/errors in cluster operation
Determine reason for application failure
Configure the Fair Scheduler to resolve application delays

Our Approach

You will start with creating Cloudera QuickStart VM (in case you have laptop with This will facilitate you to get comfortable with Cloudera Manager.
You will be able to sign up for GCP and avail credit up to $300 while offer lasts. Credits are valid up to year.
You will then understand brief overview about GCP and provision 7 to 8 Virtual Machines using templates. You will also attaching external hard drive to configure for HDFS later.
Once servers are provisioned, you will go ahead and set up Ansible for Server Automation.
You will take care of local repository for Cloudera Manager and Cloudera Distribution of Hadoop using Packages.
You will then setup Cloudera Manager with custom database and then Cloudera Distribution of Hadoop using Wizard that comes as part of Cloudera Manager.
As part of setting up of Cloudera Distribution of Hadoop you will setup HDFS, learn HDFS Commands, Setup YARN, Configure HDFS and YARN High Availability, Understand about Schedulers, Setup Spark, Transition to Parcels, Setup Hive and Impala, Setup HBase and Kafka etc.

What's inside

Syllabus

Introduction - CCA 131 Cloudera Certified Hadoop and Spark Administrator

Introduction to the course

CCA 131 - Administrator - Official Page

Understanding required skills for the certification

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Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on experience with Cloudera Manager, a widely used tool for managing Hadoop and Spark clusters in enterprise environments

Covers essential aspects of Hadoop cluster administration, including installation, configuration, management, security, testing, and troubleshooting

Emphasizes practical skills, such as setting up a local CDH repository, configuring NameNode HA, and resolving performance problems

Uses Google Cloud Platform (GCP) for provisioning virtual machines, which may require learners to create an account and manage cloud resources

Employs Ansible for server automation, which assumes learners have some familiarity with infrastructure-as-code principles and automation tools

Focuses on Cloudera Distribution of Hadoop (CDH), which has reached its end of life; consider alternatives like Cloudera Data Platform (CDP)

Reviews summary

Practical guide to cdh cluster setup

According to learners, this course provides a largely positive and highly practical approach to setting up Hadoop and Spark clusters using CDH. Students particularly praise the hands-on labs, often highlighting the effective use of GCP for real-world simulation, which they found invaluable for learning by doing. The course is considered very relevant for administrators and good preparation for the CCA 131 certification exam, offering clear, step-by-step guidance through complex installations and configurations like HDFS and YARN HA. However, some reviews mention potential challenges, including encountering setup issues or errors not fully covered, content that feels slightly outdated regarding specific software versions (like CDH), and a need for some prior Linux or networking knowledge to keep up with the pace.

Provides clear, detailed setup instructions.

"Excellent practical guide to setting up CDH cluster step by step."

"Clear instructions, step-by-step guide. Perfect for learning cluster administration."

"Provides a solid foundation for CDH administration. The labs are well-structured."

"The step-by-step approach using CDH and GCP is perfect."

Good preparation for admin roles and CCA 131.

"The course content is very relevant for administrators aiming for CCA 131."

"Prepared me well for administration tasks."

"Highly recommended for those who prefer learning by doing."

"Excellent preparation for the CCA 131 exam."

Excellent practical labs using GCP for setup.

"Excellent practical guide to setting up CDH cluster step by step. The use of GCP is a brilliant idea..."

"The hands-on labs on GCP are invaluable. This course isn't just theoretical, it's truly practical."

"The practical labs on GCP are the highlight. Clear instructions, step-by-step guide."

"The GCP lab environment is great for hands-on experience."

Basic Linux/networking knowledge recommended.

"felt a bit rushed in parts."

"Requires some prior Linux and networking knowledge to follow along easily."

"The pace was a bit fast in some sections if you are not familiar with the tools."

Some users faced errors or outdated versions.

"I faced some issues with the Ansible setup part, which seemed slightly outdated or specific to the instructor's environment."

"encountered several errors during lab setup that weren't covered in the course material."

"Videos are a bit old, and the Cloudera versions might be outdated, leading to dependency problems during setup."

"Some minor issues with versioning compared to the latest CDH releases..."

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 Practical Guide to setup Hadoop and Spark Cluster using CDH with these activities:

Review Linux Command Line Basics

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Refresh your understanding of basic Linux commands. This course involves setting up and configuring servers, which requires familiarity with the command line.

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Practice navigating the file system using commands like `cd`, `ls`, and `pwd`.
Learn how to create, copy, move, and delete files and directories.
Familiarize yourself with basic text editing using `nano` or `vim`.

Review Linux Command Line Basics

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Reinforce your understanding of basic Linux commands, which are essential for navigating and managing the Hadoop and Spark cluster environment.

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Review common commands like ls, cd, mkdir, rm, cp, mv.
Practice using pipes and redirection.
Familiarize yourself with file permissions and ownership.

Review Networking Fundamentals

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Review networking concepts like IP addressing, subnetting, and routing. Understanding these concepts is crucial for configuring and managing a Hadoop and Spark cluster.

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Review the TCP/IP model and common network protocols.
Practice calculating subnets and understanding IP address ranges.
Learn about basic network troubleshooting commands like `ping` and `traceroute`.

Nine other activities

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Hadoop: The Definitive Guide

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Read 'Hadoop: The Definitive Guide' to gain a deeper understanding of Hadoop architecture and administration. This book provides comprehensive coverage of the topics covered in the course.

View Hadoop: The Definitive Guide: Storage and... on Amazon

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Read the chapters on HDFS and YARN to understand the core components of Hadoop.
Review the sections on Hadoop administration and configuration.
Take notes on key concepts and commands for future reference.

Review 'Hadoop: The Definitive Guide'

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Gain a deeper understanding of Hadoop concepts and architecture, which will help you effectively manage and troubleshoot your CDH cluster.

View Hadoop: The Definitive Guide: Storage and... on Amazon

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Read the chapters on HDFS, MapReduce, and YARN.
Study the examples and exercises provided in the book.
Relate the concepts to the specific CDH implementation.

Practice HDFS Commands

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Practice using HDFS commands to manage files and directories. This will help you become comfortable with the Hadoop file system and its command-line interface.

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Create directories, upload files, and change permissions using HDFS commands.
Practice copying data between the local file system and HDFS.
Experiment with different HDFS commands to explore their functionality.

Practice HDFS Commands

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Solidify your understanding of HDFS commands by practicing common operations such as creating directories, copying files, and managing permissions.

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Create a directory structure in HDFS.
Copy files from your local file system to HDFS.
Change file permissions and ownership in HDFS.
Delete files and directories from HDFS.

Review 'Spark: The Definitive Guide'

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Gain a solid understanding of Spark concepts and how to leverage it within your CDH cluster for data processing and analysis.

View Spark: The Definitive Guide on Amazon

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Read the chapters on Spark SQL, DataFrames, and Spark Streaming.
Experiment with the code examples provided in the book.
Explore how to integrate Spark with HDFS and other CDH components.

Document Cluster Setup Process

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Create a detailed document outlining the steps you took to set up your Hadoop and Spark cluster. This will reinforce your understanding of the installation and configuration process.

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Document each step of the installation process, including commands and configuration settings.
Include screenshots and diagrams to illustrate key concepts.
Organize the document in a clear and logical manner for easy reference.

Document Your Cluster Setup

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Reinforce your learning by creating a detailed document outlining the steps you took to set up your Hadoop and Spark cluster using CDH.

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Describe the hardware and software configuration of your cluster.
Document the installation and configuration steps for Cloudera Manager, CDH, and ecosystem projects.
Include screenshots and command-line outputs to illustrate the process.
Explain any troubleshooting steps you took and the solutions you found.

Create a Monitoring Dashboard

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Enhance your cluster management skills by creating a monitoring dashboard to visualize key metrics and identify potential issues.

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Set up alerts to notify you of potential problems.
Choose a monitoring tool such as Grafana or Prometheus.
Configure the tool to collect metrics from your CDH cluster.
Create dashboards to visualize metrics such as CPU usage, memory usage, disk I/O, and network traffic.

Automate Cluster Deployment with Ansible

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Deepen your understanding of cluster management by automating the deployment process using Ansible, a popular configuration management tool.

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Create Ansible playbooks to install and configure Cloudera Manager, CDH, and ecosystem projects.
Use Ansible to automate tasks such as creating HDFS users, configuring NameNode HA, and setting up YARN resource queues.
Test your Ansible playbooks to ensure they can reliably deploy and configure your cluster.

Career center

Learners who complete Practical Guide to setup Hadoop and Spark Cluster using CDH will develop knowledge and skills that may be useful to these careers:

Hadoop Administrator

A Hadoop Administrator is responsible for the maintenance and management of Hadoop clusters. This often includes setting up, configuring, securing, and troubleshooting Hadoop environments. This course offers a practical guide to setting up Hadoop clusters using Cloudera Distribution of Hadoop. The course covers configuring HDFS, YARN, and high availability. It also delves into security aspects like configuring HDFS ACLs and troubleshooting cluster performance, all directly applicable to the responsibilities of a Hadoop Administrator. If you seek a career as a Hadoop Administrator, this course provides targeted hands-on experience.

See salaries and explore the career path for Hadoop Administrator

Data Engineer

Data Engineers build and maintain the infrastructure for data pipelines, enabling data scientists and analysts to access and use data effectively. A key aspect of this role involves setting up and managing distributed computing systems like Hadoop and Spark. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera, specifically addressing installation, configuration, management, security, and troubleshooting. The skills learned here are vital for any Data Engineer working with big data technologies. The course provides you with the hands-on skills that will make you successful as a Data Engineer.

See salaries and explore the career path for Data Engineer

Big Data Architect

A Big Data Architect designs and implements the overall architecture for big data solutions, choosing the right technologies and ensuring scalability, reliability, and security. Expertise in Hadoop and Spark is often essential. This course offers a practical guide to setting up Hadoop and Spark clusters using Cloudera, covering essential aspects like setting up a local repository, configuring NameNode HA, configuring ResourceManager HA, and securing the cluster. A Big Data Architect should understand these details, making this course quite relevant. Securing systems and improving performance are core to success as a Big Data Architect.

See salaries and explore the career path for Big Data Architect

Cloud Engineer

Cloud Engineers are responsible for designing, implementing, and managing cloud-based solutions. Increasingly many organizations use cloud platforms to deploy and manage Hadoop and Spark clusters. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera, including provisioning virtual machines on Google Cloud Platform. Understanding how to deploy and manage these clusters in the cloud is a valuable skill for any Cloud Engineer. This course may help you gain the targeted skills will make you effective as a Cloud Engineer.

See salaries and explore the career path for Cloud Engineer

Systems Administrator

Systems Administrators manage and maintain computer systems, ensuring they are running smoothly and efficiently. In organizations using Hadoop and Spark, Systems Administrators may be involved in the installation, configuration, and monitoring of these clusters. This course provides hands-on experience with setting up Hadoop clusters using Cloudera, covering aspects like OS-level configuration, installing Cloudera Manager, and managing the cluster. If you wish to enter this career, this course can help you learn the skills needed for managing Hadoop systems as a Systems Administrator.

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Database Administrator

Database Administrators oversee the performance, integrity, and security of databases. In the context of Hadoop and Spark, understanding how these systems interact with databases is important. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera, including configuring Hive and Impala. Understanding the configuration and management of these data warehousing tools is definitely helpful for a Database Administrator involved in big data projects. The better you understand the setup, the better you will be as a Database Administrator.

See salaries and explore the career path for Database Administrator

Data Analyst

Data Analysts examine data to identify trends, answer questions, and provide insights. While they may not directly manage Hadoop clusters, understanding how data is stored and processed in these systems is useful. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera. Knowing the underlying infrastructure can help a Data Analyst better understand data quality and performance bottlenecks. This course may provide valuable context for your pursuit as a Data Analyst.

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Solutions Architect

Solutions Architects are responsible for designing and implementing technology solutions to address business problems. This often involves integrating various systems and technologies, including big data platforms like Hadoop and Spark. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera, covering aspects like installation, configuration, security, and troubleshooting. A Solutions Architect must be able to make informed decisions. This course may provide you with the skills needed for designing solutions that incorporate Hadoop and Spark effectively.

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Application Developer

Application Developers create software applications. When working with big data, they may need to interact with Hadoop and Spark clusters to process data or build data-driven applications. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera. Understanding how to configure and manage these clusters is always beneficial for an Application Developer working in the big data space. This course may offer valuable insights into the underlying infrastructure, which will make you a better Application Developer.

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Software Engineer

Software Engineers design, develop, and test software systems. Many organizations utilize big data technologies like Hadoop and Spark. This course offers a practical guide to setting up Hadoop and Spark clusters. It covers essential aspects like installing and configuring Hadoop components, setting up high availability, and securing the cluster. Although a Software Engineer may not be directly managing the big data cluster, the experience certainly helps you understand what is going on underneath the hood.

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Technical Consultant

Technical Consultants provide expert advice and guidance to clients on technology-related issues. They often have in-depth knowledge of specific technologies and can help organizations implement and optimize their IT systems. This course offers a practical guide to setting up Hadoop and Spark clusters using Cloudera, covering essential aspects like installation, configuration, security, and troubleshooting. Being proficient in setting up Hadoop and Spark clusters is a major asset for any Technical Consultant. This course may help you provide valuable insights and recommendations.

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Technical Support Engineer

Technical Support Engineers provide technical assistance to customers or internal users, typically by diagnosing and resolving hardware or software issues. This course can be relevant in an environment where Hadoop and Spark are being used, as it provides insight into setting up, configuring, and troubleshooting Hadoop clusters using Cloudera. The skills gained here will directly contribute to your responsibilities if you seek to become a Support Engineer. This course may help you resolve issues effectively.

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Data Science Manager

A Data Science Manager oversees a team of data scientists and analysts, ensuring projects are delivered effectively and efficiently. While they may not be directly involved in the technical details of Hadoop and Spark, understanding these technologies is still valuable. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera. By understanding the big picture about the underlying platform, a Data Science Manager can better manage resources and make informed decisions. This course may help you coordinate efforts more effectively.

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Business Intelligence Analyst

Business Intelligence Analysts analyze data to identify trends and insights that can inform business decisions. Using Hadoop and Spark, a Business Intelligence Analyst can perform ad hoc queries. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera. Though not directly related to data analysis, understanding the configuration and management of these tools can help you be more effective in extracting and analyzing data. This context helps develop the insights that make you a better Business Intelligence Analyst.

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Project Manager

Project Managers plan, execute, and close projects, ensuring they are completed on time and within budget. In IT projects involving Hadoop and Spark, understanding the underlying technologies is helpful. This course provides a practical guide to setting up Hadoop and Spark clusters using Cloudera. Although managing the setup of Hadoop and Spark is beyond the typical scope of a Project Manager, the knowledge could help improve communication between team members. This course may help coordinate efforts more effectively and anticipate potential challenges.

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Practical Guide to setup Hadoop and Spark Cluster using CDH

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