Apache Oozie: Workflow Scheduling For Hadoop Ecosystems

Unlock the power of Apache Oozie to orchestrate complex Hadoop workflows with ease!

What you'll learn

Understand the architecture and components of Apache Oozie

Configure and manage Oozie actions including FS, Hive, Pig, and Email actions

Automate data workflows and schedule recurring jobs with Oozie Coordinators

Build complex workflow applications for Hadoop data processing

Integrate Oozie with other Hadoop ecosystem tools for seamless data orchestration

Requirements

Basic knowledge of Hadoop and its ecosystem

Familiarity with SQL and data processing tools like Hive and Pig

Basic understanding of Linux command-line operations

A computer with at least 4GB RAM

Description

Apache Oozie is a powerful workflow scheduler system used to manage Hadoop jobs. It integrates seamlessly with Hadoop, enabling you to automate and streamline your data processing workflows. This course, "Mastering Apache Oozie: Advanced Workflow Scheduling for Hadoop Ecosystems," is designed to take you from beginner to expert, covering everything from Oozie actions to workflow applications.Section 1: IntroductionGet started with Apache Oozie by exploring its fundamentals, architecture, and key features.Key Topics Covered:Lecture 1: Introduction to Apache OozieOverview of Apache Oozie, its architecture, components, and use cases.By the end of this section, you’ll have a solid understanding of Oozie's role in the Hadoop ecosystem.Section 2: Discuss ActionDive into the core actions of Oozie, exploring how to configure and execute them effectively.Key Topics Covered:Lecture 2: Discuss Action in DetailIn-depth exploration of Oozie actions and how they control job execution.Lecture 3: Discuss ParametersUnderstanding parameters in Oozie actions and how to use them to customize workflows.By the end of this section, you'll be proficient in configuring Oozie actions with the appropriate parameters.Section 3: Hadoop FS Action in OozieLearn how to automate file system tasks in Hadoop using Oozie’s FS action.Key Topics Covered:Lecture 4: Email Action in OozieSetting up automated email notifications within Oozie workflows.Lecture 5: Hadoop FS Action in OozieUsing the Hadoop File System (FS) action for data management tasks.By the end of this section, you’ll be able to automate file operations and notifications in your Oozie workflows.Section 4: Hive Action in OozieIntegrate Apache Hive with Oozie to schedule and manage your Hive queries.Key Topics Covered:Lecture 6: Hive Action in OozieAutomating Hive queries within Oozie workflows.Lecture 7: Hive Action in Oozie ContinueAdvanced configurations for running complex Hive tasks.Lecture 8: Control NodeUsing control nodes to manage workflow execution flow.Lecture 9: Control Node ContinueAdvanced usage of control nodes for conditional execution.By the end of this section, you’ll be proficient in integrating Hive queries into your Oozie workflows for optimized data processing.Section 5: Pig Action in OozieLeverage Apache Pig scripts within Oozie to handle data transformation tasks.Key Topics Covered:Lecture 10: Pig Action in OozieScheduling and managing Pig jobs with Oozie.Lecture 11: Pig Action in Oozie ContinuesBest practices for optimizing Pig actions within Oozie workflows.By the end of this section, you'll have mastered the integration of Pig scripts within Oozie workflows for enhanced data analytics.Section 6: Oozie Coordinators and Oozie Workflow ApplicationsMaster the concepts of Oozie Coordinators and complex workflow applications to handle recurring jobs and data pipelines.Key Topics Covered:Lecture 12: Oozie CoordinatorsSetting up Oozie Coordinators to schedule recurring jobs based on data availability.Lecture 13: Oozie Workflow ApplicationsBuilding complex workflow applications using Oozie.Lecture 14: Oozie Workflow Applications ContinuesAdvanced techniques for managing dependencies in Oozie workflows.By the end of this section, you’ll be able to build, manage, and optimize complex Oozie workflows and coordinators for production environments.Conclusion:This course provides a comprehensive guide to mastering Apache Oozie for efficient workflow scheduling in Hadoop environments. By the end of this course, you'll be equipped with the skills to automate, manage, and optimize big data workflows using Apache Oozie.

Overview

Section 1: Introduction

Lecture 1 Introduction to Apache Oozie

Section 2: Discuss Action

Lecture 2 Discuss Action in Detail

Lecture 3 Discuss Parameters

Section 3: Hadoop FS Action in oozie

Lecture 4 Email Action in Oozie

Lecture 5 Hadoop FS Action in Oozie

Section 4: Hive Action in oozie

Lecture 6 Hive Action in Oozie

Lecture 7 Hive Action in Oozie Continue

Lecture 8 Control Node

Lecture 9 Control Node Continue

Section 5: Pig Action in oozie

Lecture 10 Pig Action in Oozie

Lecture 11 Pig Action in Oozie Continues

Section 6: Oozie Coordinators and Oozie Workflow Applications

Lecture 12 Oozie Coordinators

Lecture 13 Oozie Workflow Applications

Lecture 14 Oozie Workflow Applications Continues

Big Data Engineers looking to automate Hadoop workflows,Data Analysts wanting to streamline data processing tasks,Hadoop Developers interested in mastering Oozie for workflow management,IT Professionals and Enthusiasts eager to learn Hadoop job scheduling