Data Pipelines

by

Last updated:

Data Pipelines: Architecting Robust Data Flows

In today’s data-driven landscape, efficient and reliable data pipelines are not just an advantage—they are a necessity. This course provides a comprehensive, hands-on journey into the world of modern data pipeline design, implementation, and orchestration. From foundational concepts of batch and stream processing to advanced architectures and automation, you will gain the expertise to build and manage scalable data infrastructure.

What You Will Learn

This program is engineered for data professionals seeking to deepen their understanding of data flow management. You will begin by dissecting the core differences and applications of batch and stream processing, laying a solid theoretical foundation for handling data at rest and in motion. We move beyond theory to practical applications, ensuring you grasp the architectural principles that underpin reliable data systems.

The curriculum progresses to the powerful Lambda Architecture, demonstrating how to merge the strengths of both batch and stream processing for comprehensive, fault-tolerant data systems. A critical component of any robust pipeline is orchestration, and you will learn how to effectively manage and automate complex workflows using industry-standard tools, preparing you for real-world deployment challenges.

The course culminates in a practical laboratory exercise where you will apply acquired knowledge to build an end-to-end ETL pipeline. This hands-on experience extends to automating your pipeline with Apache Airflow, solidifying your ability to design, implement, and maintain efficient, scalable data solutions.

Course Modules

Module 1: Batch Pipelines

Explore the fundamentals of batch processing, its architecture, and key use cases for large-scale data transformation.

Module 2: Stream Pipelines

Understand real-time data ingestion and processing, examining the principles behind stream-based architectures.

Module 3: Lambda Architecture

Discover how to combine batch and stream processing for comprehensive, fault-tolerant data systems.

Module 4: Data Orchestration

Learn to manage and automate complex data workflows using leading orchestration platforms.

Module 5: Lab: Building an ETL Pipeline and Automating with Apache Airflow

Apply your knowledge to construct an ETL pipeline and schedule tasks with Apache Airflow.

Module 6: Summary

Consolidate your understanding of data pipeline design, implementation, and operational best practices.

Equip yourself with the essential skills to design, build, and manage robust data pipelines that drive informed decision-making and operational excellence.