Practical Guide to setup Hadoop and Spark Cluster using CDH

🎓 Course Title: Practical Guide to setup Hadoop and Spark Cluster using CDH

🚀 Course Headline: Step by step instructions to setup Hadoop and Spark Cluster using Cloudera Distribution of Hadoop (Formerly CCA 131)

About the Course:

Embark on a comprehensive journey to master the setup and administration of a Hadoop and Spark cluster with Cloudera Distribution of Hadoop (CDH). This Practical Guide is designed for hands-on learners who want to dive deep into the installation, configuration, management, security, testing, and troubleshooting of their Hadoop ecosystem.

What You'll Learn:

🔧 Installation Process: Understand the complete installation workflow for Cloudera Manager, CDH, and its ecosystem projects. Follow step-by-step instructions to set up your environment:

• Creating a local CDH repository
• Configuring the OS for Hadoop installation
• Installing Cloudera Manager server and agents
• Using Cloudera Manager to install CDH
• Adding new nodes to an existing cluster
• Installing services using Cloudera Manager

🔧 Configuration: Master the art of administering a Hadoop cluster by performing essential configurations:

• Configuring services through Cloudera Manager
• Setting up user directories in HDFS
• Enabling High Availability for NameNode and ResourceManager
• Proxying for Hiveserver2/Impala

🔧 Management: Maintain your cluster's operational efficiency with these key management practices:

• Rebalancing the cluster to optimize performance
• Setting up alerts for disk fill issues
• Defining rack topology scripts
• Installing compression libraries
• Revising YARN resource assignments based on user needs
• Commissioning/decommissioning nodes as required

🔒 Security: Ensure your cluster adheres to security policies and best practices:

• Configuring HDFS Access Control Lists (ACLs)
• Installing and configuring Sentry for role-based access control
• Setting up user authentication in Hue
• Configuring log redaction for data privacy
• Creating encrypted zones in HDFS

🔍 Testing: Benchmark your cluster to ensure operational excellence and efficiency:

• Executing file system commands via HTTPFS
• Copying data within or between clusters
• Creating and restoring HDFS snapshots
• Managing ACLs for file/directory structures
• Conducting performance benchmarks (I/O, CPU, network)

🛠️ Troubleshooting: Resolve common problems and optimize cluster performance:

• Troubleshooting Cloudera Manager errors/warnings
• Handling performance issues in the cluster
• Investigating application failures
• Configuring the Fair Scheduler to manage resource contention

Our Approach:

We've designed this course to give you hands-on experience with real-world scenarios. Here's how we guide you through:

1. Get Comfortable with Cloudera Manager:

   • Start by setting up a local instance of Cloudera Manager to familiarize yourself with its interface and capabilities.

2. Provision Virtual Machines on GCP:

   • Sign up for Google Cloud Platform (GCP) using your $300 credit (valid for a year), and learn how to provision 7-8 VMs using templates.

3. Set Up Ansible for Server Automation:

   • Get acquainted with Ansible and automate server setup tasks to streamline the deployment process.

4. Local Repository Setup:

   • Learn how to set up a local repository for Cloudera Manager and CDH, ensuring you have the necessary packages at hand.

5. Database and CDH Setup:

   • Configure a custom database and proceed with the installation of Cloudera Distribution of Hadoop using the Cloudera Manager Wizard.

6. Deeper into Hadoop Ecosystem:

   • Dive into setting up HDFS, exploring HDFS commands, installing and configuring YARN, configuring High Availability for NameNode and ResourceManager, understanding Schedulers, setting up Spark, transitioning to parcel-based deployment, installing Hive and Impala, and setting up HBase and Kafka.

👨‍💻 Why This Course?

This course is your gateway to mastering the Hadoop ecosystem using CDH on GCP. With a blend of theoretical knowledge and practical exercises, you'll gain hands-on experience that will set you up for success in big data and distributed computing environments.

Enroll now to unlock your potential as a Hadoop administrator and take your career to the next level!