Udemy

Azure Data Engineering Masters: Build Scalable Solutions

Name: Azure Data Engineering Masters: Build Scalable Solutions
Price: 19.99 USD
Availability: InStock
Rating: 4.7 (370 reviews)

4.7(370)10k students

Korshub's take

Master the Azure Data Ecosystem

This comprehensive program is designed for learners at any level looking to master the modern data lifecycle. It bridges the gap between foundational data concepts and advanced cloud implementation, making it ideal for aspiring data engineers or professionals transitioning into cloud computing.

Key Learning Pillars:

Core Technologies: Deep dives into Apache Spark (Core, SQL, and Streaming) and Databricks with PySpark.
Programming & Querying: Mastery of Python (including NumPy, Pandas, and visualization) alongside SQL from basics to advanced window functions.
Azure Infrastructure: Hands-on experience with Azure Data Factory, cloud storage, and security.
Practical Application: The curriculum culminates in capstone projects involving ADF pipelines, Databricks, and CI/CD processes to simulate real-world scenarios.

By the end of this course, you will have the technical toolkit required to build, manage, and optimize scalable, real-time data solutions in a cloud environment.

About this course

Embark on a transformative journey in data engineering with our comprehensive Azure Data Engineering Masters 2025 course. This program equips you with the essential skills to design, implement, and manage scalable data solutions using Microsoft Azure technologies.

Curriculum Highlights:

Introduction to Data Engineering: Understand core concepts, the data lifecycle, and the differences between databases, pipelines, and cloud platforms. Explore the fundamental roles of data engineering and the significance of ETL processes.
Spark Core: Gain in-depth knowledge of Apache Spark, its architecture, and core functionalities. Learn about RDDs, transformations, actions, and the execution of Spark applications.
Spark SQL: Dive into the capabilities of Spark SQL, its features, and use cases. Master data manipulation using DataFrames and explore integration with Hive and other data sources.
Spark Streaming: Discover real-time data processing with Spark Streaming. Learn about micro-batching, structured streaming, and how to build applications that handle live data streams.
Python for Data Engineering: Build a solid foundation in Python with a focus on data structures, functions, and libraries like NumPy and Pandas. Understand how to visualize data using Matplotlib and Seaborn.
SQL Basic and Advanced: Master SQL from installation to advanced querying techniques, including joins, window functions, and stored procedures. Learn to connect SQL with Python for enhanced data manipulation.
Azure Cloud Fundamentals: Explore Azure's cloud services, including storage solutions, data integration with Azure Data Factory, and data processing using Databricks. Understand security and monitoring in the cloud environment.
Complete Databricks with PySpark: Get hands-on experience with Databricks, learning about data ingestion, orchestration, and performance optimization. Engage in practical labs and projects to solidify your understanding.
Capstone Projects: Apply your learning in real-world scenarios through comprehensive projects, including ADF pipelines, Databricks implementations, and CI/CD processes.

Join us to build a robust skill set in data engineering, preparing you for exciting opportunities in the rapidly evolving field of data analytics and cloud computing. Whether you're a beginner or looking to deepen your expertise, this course will empower you with the tools and knowledge to excel.