Azure Data Engineering Masters: Build Scalable Solutions

Course Overview

• Course Title: Azure Data Engineering Masters: Build Scalable Solutions
• Instructor: N/A
• Target Audience:
  • Aspiring Data Engineers
  • IT Professionals transitioning to data engineering roles
  • Data Analysts seeking advanced technical skills
  • Students in computer science, IT, or data science
  • Business Analysts enhancing data-driven decision-making
  • Career Changers from non-technical backgrounds
  • Professionals interested in Azure cloud solutions
• Prerequisites: None

Curriculum Highlights

• Key Topics Covered:
  • Fundamentals of Data Engineering (core concepts, roles, data lifecycle)
  • SQL Proficiency (basic and advanced querying, data modeling, optimization)
  • Python Programming (data structures, functions, NumPy, Pandas, Matplotlib)
  • Databricks & PySpark (data processing, ETL pipelines, Spark architecture)
  • Spark Core & Spark SQL (RDDs, DataFrames, Hive integration)
  • Spark Streaming (real-time data processing, micro-batching)
  • Azure Cloud Fundamentals (Azure Data Factory, Synapse, storage solutions)
  • Azure Databricks (data ingestion, orchestration, performance optimization)
  • Power BI (interactive dashboards, AI tools, multi-source integration)
  • Capstone Projects (ADF pipelines, Databricks implementations, CI/CD)
• Key Skills Learned:
  • Designing and managing scalable data solutions in Azure
  • Building ETL pipelines with PySpark and Databricks
  • Querying and optimizing SQL databases
  • Developing real-time data processing applications
  • Creating interactive Power BI dashboards
  • Implementing Azure cloud services for data integration
  • Applying Python for data manipulation and visualization
  • Executing end-to-end data engineering projects

Course Format

• Duration: 30+ hours of on-demand video, 200+ lectures
• Format: Self-paced online course with lifetime access
• Resources:
  • Downloadable Python and SQL scripts
  • Hands-on labs and exercises
  • Capstone projects with real-world scenarios
  • Quizzes for skill assessment
  • Supplementary reading materials