Description
Azure Data Engineering Masters: Build Scalable Solutions is a course published by Udemy Online Academy that teaches you how to master the tools, services, and best practices for building powerful, scalable data solutions in Microsoft Azure. This is an in-depth course designed to help learners master the tools, services, and best practices for building powerful, scalable data solutions in Microsoft Azure. The program focuses on end-to-end data engineering workflows, from data ingest and transformation to analysis and visualization, and prepares individuals to work confidently with large-scale data systems. This course is ideal for aspiring data engineers, cloud architects, and professionals looking to advance their Azure expertise.
This course covers core Azure data services such as Azure Data Factory, Synapse Analytics, Data Lake Storage, and Databricks, and teaches you how to design and implement efficient data pipelines. This course explores ETL processes, real-time data streaming with Event Hubs and Stream Analytics, and big data processing using Spark on Azure. Learners gain experience optimizing data workflows for scalability, performance, and cost efficiency, while ensuring security and compliance with Azure management tools. The program also includes hands-on projects that simulate real-world enterprise data environments, enabling individuals to develop practical expertise in data integration, transformation, and deployment of analytics solutions in the cloud.
What you will learn in Azure Data Engineering Masters: Build Scalable Solutions:
- Data Engineering Fundamentals: Understand the core concepts, roles, and responsibilities in data engineering, including data lifecycle management.
- SQL Proficiency: Master basic and advanced SQL techniques for querying, data modeling, and optimizing database performance.
- Python Programming: Gain hands-on experience in Python, focusing on fundamental programming concepts, data manipulation, and file management.
- Databricks and PySpark Proficiency: Learn to use Databricks to process and transform data with PySpark, including building efficient ETL pipelines.
- Azure Services Proficiency: Explore various Azure services, including Azure Data Factory, Azure Synapse, and Azure Storage, for data integration and analysis.
- And…
Course specifications
- Publisher : Udemy
- Teacher : Satyajit Pattnaik , Praveen Kumar
- Language: English
- Level : All Levels
- Lectures : 215
- Duration : 51 hours and 27 minutes
Course topics
Azure Data Engineering Masters: Build Scalable Solutions Prerequisites
Basic Understanding of Data Concepts: Familiarity with fundamental data concepts and terminology.
Basic SQL Knowledge: Introductory knowledge of SQL is helpful but not mandatory.
Familiarity with Programming: Basic experience in any programming language, preferably Python.
Interest in Data Engineering: A keen interest in data engineering and cloud technologies.
Computer with Internet Access: A reliable computer and internet connection for accessing course materials and participating in hands-on labs.
Willingness to Learn: A proactive attitude towards learning and engaging with new technologies.
Pictures
Azure Data Engineering Masters: Build Scalable Solutions introduction video
Installation guide
After Extract, watch with your favorite Player.
subtitle: English
Quality: 720p
The 2026/2 version has increased the number of lessons by 1 and the duration increased by 53 minutes compared to 2025/9.
Downloadly link
File password (s): www.downloadly.ir
Size
23.12 GB
