Building ETL and Data Pipeline with Bash Airflow and kafka Training

Live Online & Classroom Enterprise Training

This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell scripts, Airflow and Kafka.

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What is Building ETL and Data Pipeline with Bash Airflow and kafka Training about?

Efficient data pipelines are the backbone of modern data engineering. This course provides hands on training in building Extract, Transform, Load (ETL) processes and data pipelines by combining the simplicity of Bash scripting, the workflow orchestration power of Apache Airflow, and the real time streaming capabilities of Apache Kafka. Learners will gain practical experience in batch and streaming pipeline design, task scheduling, automation, and monitoring. By the end of this course, participants will be able to construct robust, production-ready pipelines to handle diverse data workflows in enterprise environments.

What are the objectives of Building ETL and Data Pipeline with Bash Airflow and kafka Training ?

Understand ETL fundamentals and data pipeline architecture.
Automate workflows and manage dependencies with Apache Airflow.
Use Bash scripting for data manipulation and pipeline automation.
Implement real-time streaming pipelines with Apache Kafka.
Monitor, troubleshoot, and optimize data workflows for scalability.

Who is Building ETL and Data Pipeline with Bash Airflow and kafka Training for?

Aspiring and practicing Data Engineers.
Developers working with batch and streaming data pipelines.
System Administrators looking to automate data workflows.
Data Scientists needing reliable pipelines for analytics/ML.
Professionals preparing for careers in Big Data and cloud platforms.

What are the prerequisites for Building ETL and Data Pipeline with Bash Airflow and kafka Training?

Prerequisites:

Basic knowledge of Python or any scripting language.
Familiarity with Linux/Unix command line.
Understanding of databases and SQL.
Foundational knowledge of data processing concepts.
Interest in workflow automation and real-time data streaming.

Learning Path:

Introduction to ETL, Data Pipelines, and Architecture Basics
Bash Scripting for Automation in Data Pipelines
Workflow Orchestration with Apache Airflow
Real-Time Data Streaming with Apache Kafka
Building and Deploying End-to-End ETL Pipelines

Related Courses:

Apache Spark Fundamentals
Processing Big Data with Hadoop
Data Engineering on Google Cloud Platform
Real-Time Data Processing with Apache Flink

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1- Data Processing Techniques

Introduction

ETL Fundamentals

ELT Basics

Comparing ETL to ELT

Data Extraction Techniques

Introduction to Data Transformation Techniques

Data Loading Techniques

Module 2- ETL & Data Pipelines: Tools and Techniques

ETL using Shell Scripting

Introduction to Data Pipelines

Key Data Pipeline Processes

Batch Versus Streaming Data Pipeline Use Cases

Data Pipeline Tools and Technologies

Module 3- Building Data Pipelines using Airflow

Apache Airflow Overview

Advantages of Using Data Pipelines as DAGs in Apache Airflow

Apache Airflow UI

Build DAG Using Airflow

Airflow Monitoring and Logging

Module 4- Building Streaming Pipelines using Kafka

Distributed Event Streaming Platform Components

Apache Kafka Overview

Building Event Streaming Pipelines using Kafka

Kafka Streaming Process

Who is the instructor for this training?

The trainer for this Building ETL and Data Pipeline with Bash Airflow and kafka Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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