Hadoop 3 Big Data Processing Hands On [Intermediate Level]

🌟 Course Title: Hadoop 3 Big Data Processing Hands On [Intermediate Level]

Course Headline: 🚀 Master Hadoop 3.0 - Explore Advanced Features, Setup a Hadoop 3x Cluster, and Dive into Big Data with Confidence!

Introduction to the Course:

*** THIS COURSE IS NOT FOR BEGINNERS ***

Are you a Big Data Enthusiast eager to unlock the full potential of Hadoop? Look no further! This intermediate-level course is designed for learners who have already dipped their toes into the world of Hadoop and are now ready to dive deeper. We'll take an in-depth look at Hadoop 3.0, covering everything from its core concepts to the intricacies of setting up a robust Hadoop cluster.

What is Hadoop?

Hadoop is an open-source framework developed by the Apache Software Foundation and written in Java. It allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Course Overview:

• Introduction to Big Data: Understand the landscape of big data and its significance in today's data-driven world.
• Introduction to Hadoop: Get acquainted with the history and evolution of Hadoop, and its role in handling big data.
• Introduction to Apache Hadoop 1x - Part 1: A brief recap of earlier versions of Hadoop to set the stage for Hadoop 3.0.
• Why we need Apache Hadoop 3.0?: Explore the driving forces behind the upgrade to Hadoop 3.0.
• The motivation of Hadoop 3.0: Dive into the improvements and motivations that make Hadoop 3.0 a significant leap forward.
• Features of Hadoop 3.0: Examine the exciting new features introduced in Hadoop 3.0, such as support for RFC 5195, IPv6, and more efficient memory usage.
• Other Improvements on Hadoop 3.0: Learn about the enhancements that improve performance, scalability, and manageability.
• Pre-requisistics of Lab: Ensure you have the necessary prerequisites before jumping into the hands-on lab sessions.
• Setting up a Virtual Machine: Master the art of setting up a VM for your Hadoop environment.
• Linux fundamentals - Part 1: Brush up on essential Linux commands and concepts, which are the bedrock of working with Hadoop.
• Linux Users and File PermissionsUnderstand how to manage users and file permissions in a secure and efficient manner.
• Packages Installation for Hadoop 3x: Learn the correct installation procedures for Hadoop 3x on your machine.
• Networking and SSH connection: Gain proficiency in networking concepts and SSH to manage your Hadoop cluster remotely.
• Setup the environment for Hadoop 3x: Configure your environment with all the necessary tools and libraries required for Hadoop 3x.
• Inside Hadoop 3x directory structure: Navigate through the Hadoop file system like a pro.
• EC Architecture Extensions: Explore enhancements in Hadoop 3.0, particularly the Enterprise Cloud (EC2) features.
• Setting up a Hadoop 3x Cluster Learn the end-to-end process of setting up a fully functional Hadoop 3x cluster.
• Cloning Machines and Changing IP: Streamline the setup process by cloning machines and changing their IP addresses.
• Formatting Cluster and Start Services: Initialize your cluster and start essential services for a smooth operation.
• Start and Stop Cluster: Manage your Hadoop cluster efficiently with the knowledge of starting and stopping it.
• HDFS Commands: Master the commands to manage the Hadoop Distributed File System (HDFS).
• Erasure Coding Commands: Understand and apply erasure coding techniques for more efficient data storage.
• Running a YARN applicationLearn to run applications on the YARN framework effectively.
• Cloning a machine for Commissioning: Clone machines to prepare them for commissioning into your Hadoop cluster.
• Commissioning a node: Bring new nodes into your cluster and ensure they are fully operational.
• Decommissioning a nodeKnow how to gracefully decommission a node from the Hadoop cluster when it's no longer needed.
• Installing Hive on Hadoop: Set up Apache Hive, a data warehouse software project built on top of Hadoop, for querying and managing large datasets residing in distributed storage.
• Working with HiveLearn how to perform ETL (Extract, Transform, Load) operations using Hive.
• Typical Use Cases of Hadoop 3x: Understand the real-world applications and benefits of using Hadoop 3x in various scenarios.
• Typical Architectures with Hadoop 3xExplore common architectures that leverage the capabilities of Hadoop 3x for optimal performance and reliability.
• Typical Performance MetricsLearn about key performance metrics to monitor the health and efficiency of your Hadoop cluster.

Join us on this journey to master Hadoop 3x and make the most out of big data. With hands-on labs, real-world scenarios, and in-depth knowledge, you'll be well-equipped to handle any big data challenge that comes your way. Let's dive into the world of Hadoop and unlock the full potential of your data!