ETL Pipelines Courses and Certifications

ETL pipelines con Python: recopila datos de Spotify

Aprende a extraer y analizar datos de Spotify con Python, desde la configuración del entorno hasta la creación de visualizaciones interactivas para descubrir patrones y tendencias musicales.

• Coursera
• 2 hours 16 minutes
• On-Demand
• Paid Course

Cloud Data Warehouses

In this course, you’ll learn to create cloud-based data warehouses. You’ll sharpen your data warehousing skills, deepen your understanding of data infrastructure, and be introduced to data engineering on the cloud using Amazon Web Services (AWS).

• Udacity
• 2 weeks, 6 hours a week
• On-Demand
• Paid Course

DP-203 - Data Engineering on Microsoft Azure

11903 ratings at Udemy

Preparation for DP-203 Data Engineering on Microsoft Azure exam

• Udemy
• 21 hours 20 minutes
• On-Demand
• Paid Course

Databricks Certified Data Engineer Associate - Preparation

5477 ratings at Udemy

Preparation course for Databricks Data Engineer Associate certification exam with hands-on training

• Udemy
• 4 hours 19 minutes
• On-Demand
• Paid Course

Building Data Engineering Pipelines in Python

Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Writing production-ready ETL pipelines in Python / Pandas

575 ratings at Udemy

Learn how to write professional ETL pipelines using best practices in Python and Data Engineering.

• Udemy
• 7 hours
• On-Demand
• Paid Course

Building Batch Pipelines in Cloud Data Fusion

Learn to build ETL pipelines using Cloud Data Fusion's Pipeline Studio, exploring built-in plugins and applying data transformations with the Wrangler tool in Google Cloud's environment.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Microcredential

Generative AI for Data Engineers

Explore generative AI applications in data engineering, from ETL pipelines to prompt engineering techniques. Learn popular models for text, code, image, audio, and video generation using tools like IBM Watsonx.

• Coursera
• On-Demand
• Paid Course
• 2 courses

Building Your First ETL Pipeline Using Azure Databricks

189 ratings at Pluralsight

In this course, you will learn about the Spark based Azure Databricks platform.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Pragmatic AI Labs

Data Engineering with Databricks

Become an expert in modern data engineering on Databricks' unified lakehouse platform. Master ETL pipelines, data transformations with Apache Spark, and Delta Lake for reliable data management.

• edX
• 3 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Kafka Connect Fundamentals

38 ratings at Pluralsight

This course is a technical introduction to Kafka Connect. Learn how to use it to quickly transfer data in and out of the Apache Kafka ecosystem, to and from common data systems like databases, key-value stores, search indexes, and file systems.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Implementing ETL Pipelines on the Microsoft SQL Server Platform

14 ratings at Pluralsight

This course will teach you how to use the SQL Server database engine and Integration Services (SSIS) to develop, deploy, and monitor an ETL pipeline with the SQL Server data stack for dimension and fact tables.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Databricks

Modern ETL Pipelines with Change Data Capture - Building Resilient Data Streams

Discover how GetYourGuide built a resilient ETL pipeline using Debezium, Kafka, Spark, and Airflow. Learn to handle schema changes automatically, stream data from SQL databases, and refresh data lakes multiple times daily for fresher insights.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Databricks

Improving Broadcast Joins in Apache Spark SQL

Discover techniques to enhance broadcast joins in Apache Spark SQL, including executor-side broadcasting and memory optimization, for improved performance in large-scale ETL pipelines and complex data processing tasks.

• YouTube
• 28 minutes
• On-Demand
• Free Video