Amazon Web Services (AWS) developed the free, organized AWS Data Engineering Learning Plan to assist students in gaining the fundamental and intermediate skills needed for data engineering on AWS. Using fundamental AWS services, the learning plan walks you through data intake, storage, processing, analytics, and visualization. It is intended for [...]

For those who wish to study the fundamentals of the Databricks Data Intelligence Platform, there is a free introductory course called Databricks Fundamentals. Data Lakehouses, data management, analytics, AI capabilities, governance, security, and Databricks’ place in contemporary data ecosystems are among the fundamental ideas covered in the course. It is [...]

Apache Spark, a potent distributed data processing platform utilized in contemporary data engineering, is introduced in this course. The fundamental ideas of Spark, such as DataFrames, Spark SQL, data transformations, and scalable ETL pipelines, are practically demonstrated to learners. Large dataset processing, Spark workload optimization, and creating dependable data engineering [...]

A thorough, beginner-friendly, and industry-focused course, Data Engineering Zoomcamp offers hands-on exposure with tools including Docker, PostgreSQL, Google Cloud Platform (GCP), Terraform, BigQuery, dbt, Apache Spark, and Apache Kafka. Students finish practical assignments and create a capstone project that is ready for a portfolio and showcases their end-to-end data engineering [...]

This free, beginner-friendly course from Simplilearn introduces students to Databricks, a top cloud-based data engineering platform for processing big datasets and creating scalable data pipelines. Basic ideas including Apache Spark, Delta Lake, data intake, transformation, workflow automation, and performance optimization are covered throughout the course. Learners are exposed to the [...]

A beginner-friendly course called “Data Engineering with Databricks” teaches students how to use the Databricks Lakehouse Platform to create cutting-edge data engineering solutions. Data ingestion, ETL pipeline creation, data transformation using Apache Spark, Delta Lake, workflow orchestration, and data governance are among the fundamental ideas covered in the course. Through [...]

This Microsoft Learn course teaches data engineers how to build, automate, optimize, and manage scalable data engineering solutions using Azure Databricks and Apache Spark. Learners gain hands-on experience with modern data processing techniques, including real-time streaming, Delta Live Tables, workflow automation, performance optimization, data governance, and integration with Azure services. [...]

Microsoft Learn offers a free, intermediate-level course called “Get Started with Data Engineering on Azure” that covers the principles of data engineering with Microsoft Azure. The job of a data engineer, fundamental data engineering principles, and how Azure technologies like Azure Data Lake Storage Gen2 support contemporary data analytics solutions [...]

Microsoft’s official learning path, Training for Data Engineers, aims to assist students develop the skills necessary for a career in data engineering. The course addresses the use of Microsoft Azure and Microsoft Fabric technologies to gather, integrate, transform, store, and manage massive amounts of structured and unstructured data. Data pipelines, [...]

IBM created the beginner-friendly course Introduction to Data Engineering, which is available on Coursera. It offers a basic overview of the topic of data engineering, covering how data is gathered, stored, processed, and turned into insightful business information. Data pipelines, relational databases, NoSQL databases, data warehouses, data lakes, big data [...]