Azure Data Engineering Masters: Build Scalable Solutions
Published 9/2025
Created by Zep Tech Solutions,Praveen Kumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 214 Lectures ( 50h 34m ) | Size: 26.3 GB
Master Data Engineering Essentials for Azure
What you'll learn
Fundamentals of Data Engineering: Understand the core concepts, roles, and responsibilities within data engineering, including data lifecycle management.
SQL Proficiency: Master both basic and advanced SQL techniques for querying, data modeling, and optimizing database performance.
Python Programming: Gain hands-on experience in Python, focusing on essential programming concepts, data manipulation, and file handling.
Databricks & PySpark Skills: Learn to use Databricks for data processing and transformations with PySpark, including building efficient ETL pipelines.
Azure Services Expertise: Explore various Azure services, including Azure Data Factory, Azure Synapse, and Azure Storage, for data integration and analytics.
Data Visualization with Power BI: Create interactive dashboards and reports using Power BI, integrating data from multiple sources and leveraging AI tools.
Real-World Project Experience: Apply learned skills in practical projects that simulate industry scenarios, enhancing problem-solving and project management abi
Requirements
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.
Description
Join our Azure Data Engineering Masters: Build Scalable Solutions to gain hands-on experience and in-depth knowledge in the field of data engineering on the Azure platform. Azure is currently recognized as one of the leading cloud service providers, and many companies are actively exploring Azure solutions to drive their data initiatives. This makes Azure an ideal foundation for this course, enabling you to learn relevant skills that are in high demand.Throughout this bootcamp, participants will explore key concepts and technologies essential for modern data engineering. The curriculum covers:Data Engineering Fundamentals: Understand the roles, responsibilities, and lifecycle of data engineering, including the differences between data warehouses and data lakes.SQL Mastery: Learn to write basic to advanced SQL queries, including data modeling, JOINs, and optimization techniques, while integrating SQL with Power BI for dynamic dashboard creation.Python for Data Engineering: Gain proficiency in Python programming, focusing on core concepts, data structures, file handling, and object-oriented programming to manage data workflows effectively.Databricks & PySpark: Dive into the essentials of Databricks, including workspace management and data transformations using PySpark. Learn to orchestrate ETL pipelines and utilize Delta Lake for efficient data storage.Azure Cloud Services: Get introduced to Azure storage solutions, Azure Data Factory for data integration, and Azure Synapse for analytics, covering ingestion, transformation, and orchestration of data pipelines.Microsoft Fabric & Power BI: Explore Microsoft Fabric's unified analytics platform and learn to create impactful data visualizations with Power BI, leveraging AI tools for enhanced insights.Real-World Projects: Apply your skills through hands-on projects that simulate real-world scenarios, including end-to-end data engineering projects in retail and insurance sectors.Career Preparation: Prepare for data engineer interviews and learn version control with Git and GitHub to streamline your development process.Upon completion, participants will be equipped with the practical skills and theoretical knowledge needed to excel in data engineering roles, making them valuable assets in today's data-driven landscape. Join us to transform your career and master data engineering on Azure!
Who this course is for
Aspiring Data Engineers: Individuals looking to start a career in data engineering and analytics.
IT Professionals: Current IT professionals seeking to upskill and transition into data engineering roles.
Data Analysts: Data analysts who want to deepen their technical skills and expand their knowledge of data engineering.
Students in Related Fields: University students studying computer science, information technology, or data science.
Business Analysts: Professionals interested in leveraging data engineering to enhance business insights and decision-making.
Career Changers: Individuals from non-technical backgrounds who are motivated to enter the data engineering field.
Anyone Interested in Azure Solutions: Those looking to understand and utilize Azure as a cloud service provider for data solutions.
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