Airbyte – Open Source Data Integration Course in Chennai

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Master Airbyte, open-source data integration, ELT pipelines, data synchronization, and modern data engineering with Edubrights’ Airbyte – Open Source Data Integration training in Chennai. This course is designed for students, freshers, data engineers, ETL developers, analytics engineers, cloud engineers, database administrators, business intelligence professionals, and working professionals who want to build scalable and automated data integration pipelines using Airbyte.

Gain hands-on experience with connector configuration, data replication, ELT workflows, API integrations, incremental synchronization, orchestration, monitoring, and real-world enterprise data engineering projects through practical industry use cases.

Key Highlights:

✅ Real-Time Data Integration Projects & Modern Data Engineering Use Cases

✅ Live Instructor-Led Training by Experienced Data Engineering Experts

✅ Hands-On Practice with Airbyte Open-Source Platform

✅ Airbyte Fundamentals, ELT Architecture & Modern Data Integration Concepts

✅ Source & Destination Connectors, Data Synchronization & Incremental Loading

✅ API Integration, Database Replication & SaaS Data Ingestion

✅ ELT Pipeline Development, Data Transformation & Workflow Automation

✅ Connector Configuration, Custom Connectors & Change Data Capture (CDC) Concepts

✅ Data Quality, Error Handling, Monitoring & Performance Optimization

✅ Scheduling, Orchestration & Production Pipeline Management

✅ Security, Data Governance & Enterprise Data Integration Best Practices

✅ Integration with PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Amazon Redshift, Databricks, dbt, Apache Airflow, Docker, Kubernetes & Amazon S3

✅ Resume Building, Portfolio Development & Mock Interview Preparation

✅ Career Guidance, Placement Assistance & Data Engineering Certification Support

✅ Flexible Online, Classroom & Weekend Training Options

✅ Corporate Training for Data Engineering Teams, Analytics Departments, Cloud Teams, Startups & Enterprise IT Organizations

Build practical Airbyte expertise, automate enterprise data integration workflows, create scalable ELT pipelines, streamline analytics data movement, and become industry-ready for careers in Data Engineering, Analytics Engineering, ETL Development, Cloud Data Engineering, Business Intelligence, and Modern Data Integration.

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₹30000

₹38000

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Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1. What is Airbyte and why is it widely used for data integration?

Learn how Airbyte simplifies data movement between databases, applications, APIs, and cloud platforms using scalable ETL and ELT pipelines.

2. Why is data integration important for modern organizations?

Understand how unified data improves business intelligence, reporting, analytics, and data-driven decision-making across enterprise systems.

3. Which technologies and connectors are supported by Airbyte?

Explore databases, SaaS applications, REST APIs, cloud storage, data warehouses, and custom connectors for enterprise integration.

4. How does Airbyte improve data engineering workflows?

Learn how automated data synchronization, scheduling, monitoring, and pipeline management reduce manual effort and improve data reliability.

Popular Techniques Covered in This Course

Airbyte Installation and Configuration

Data Pipeline Development

ETL and ELT Concepts

Change Data Capture (CDC)

API Data Integration

Database Replication

Data Warehouse Loading

Connector Configuration

Pipeline Monitoring and Troubleshooting

Modern Data Engineering Practices

Get Hands-on Knowledge about Real-Time Projects

Project 1

1 Database Synchronization Project

Create automated data pipelines between multiple enterprise databases. Tasks: Configure source databases Set destination systems Schedule data synchronization Validate migrated records

Project 2

2 API Data Integration Project

Build a pipeline to import data from external REST APIs. Tasks: Connect API endpoints Configure authentication Transform incoming data Load data into a warehouse

Project 3

3 Cloud Data Warehouse Integration Project

Integrate operational data into a cloud-based analytics platform. Tasks: Configure cloud warehouse Build ELT pipeline Schedule automated jobs Monitor pipeline performance

Project 4

4 Business Analytics Pipeline Project

Develop a centralized data pipeline for reporting and analytics. Tasks: Integrate multiple data sources Prepare analytics datasets Automate data refresh Verify data accuracy

Project 5

5 Enterprise ETL Automation Project

Automate enterprise data movement across business applications. Tasks: Create ETL workflows Configure monitoring alerts Optimize pipeline execution Generate operational reports

Key Features

Edubrights offers AIRBYTE – OPEN-SOURCE DATA INTEGRATION Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ batches

Certification Guidance

Curriculum

Module 1: Introduction to Airbyte and Open-Source ELT

Airbyte overview: open-source data integration platform
Airbyte architecture: server, scheduler, workers, and temporal workflow engine
Airbyte Cloud vs self-hosted: deployment options and trade-offs
Navigating the Airbyte UI: sources, destinations, and connections

Module 2: Sources and Destinations Configuration

Configuring source connectors: databases, SaaS apps, and APIs
Database sources: Postgres, MySQL, MongoDB, and SQL Server
SaaS sources: Salesforce, Zendesk, Stripe, and GitHub
Destinations: Snowflake, BigQuery, Redshift, S3, and Postgres

Module 3: Sync Modes and Replication Strategies

Sync modes: full refresh overwrite, full refresh append, and incremental append
Incremental deduped history: maintaining current state with CDC
CDC with Airbyte: Debezium-based log reading for databases
Custom cursor fields for incremental sync configuration

Module 4: Airbyte Custom Connectors

Connector Development Kit (CDK) overview: Python and low-code CDK
Building a custom source connector with the low-code CDK
YAML-based connector definition and stream configuration
Testing custom connectors with the Airbyte connector acceptance test suite

Module 5: Airbyte Transformations and dbt

Basic normalisation: Airbyte's automatic schema normalisation
dbt integration with Airbyte for custom transformations
Running dbt models after Airbyte sync completion
Combining Airbyte with dbt and Orchestration tools

Module 6: Airbyte Operations and Monitoring

Connection scheduling: cron expressions and manual triggers
Sync monitoring: job logs, error messages, and notification setup
Resetting connections and clearing destination data
Airbyte API for programmatic connection management

Module 7: Airbyte Deployment and Scaling

Docker Compose deployment for small teams
Kubernetes deployment with Helm charts for production
Horizontal scaling: worker pods and temporal cluster configuration
Secret management: Vault and Kubernetes secrets integration

Module 8: Capstone Project and Assessment

Multi-source Airbyte pipeline: database and SaaS connectors setup
Custom connector development using low-code CDK
dbt transformation integration and pipeline monitoring setup
Final assessment and course certification

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain expertise from data engineers who have deployed and managed Airbyte open-source data integration pipelines for analytics teams building modern data stacks with full control over their data movement infrastructure.

Backgrounds at the Top Our Airbyte trainers have worked at data engineering teams and startups adopting open-source ELT tools for flexible, cost-effective data integration into cloud data warehouses and data lakes.

Clear & Effective Teaching Airbyte connector configuration, sync modes, CDC replication, custom connector development, dbt integration, monitoring, and Kubernetes deployment are explained with practical data integration examples.

Hands-On Learning Focus Students configure Airbyte sources and destinations, set up CDC pipelines, build custom connectors with the CDK, integrate dbt, and deploy Airbyte on Kubernetes through structured hands-on labs.

Up-to-Date Knowledge Trainers keep content current with the latest Airbyte platform releases, Airbyte Cloud enhancements, PyAirbyte for Python-based pipelines, and evolving open-source data integration community practices.

You will succeed with our recognized certification

Our institution offers a recognized AIRBYTE – OPEN-SOURCE DATA INTEGRATION certification. This certification enhances your portfolio and prepares you for collaborative projects in real-world environments. Gain practical skills through hands-on training and assessments.