Course Overview
- Course Title: Azure Data Engineering Masters: Build Scalable Solutions
- Instructor: Satyajit Pattnaik
- Target Audience:
- Aspiring data engineers
- Cloud professionals transitioning to Azure data solutions
- Python/SQL developers seeking data engineering expertise
- IT professionals aiming for Azure certifications
- Beginners with basic programming/data knowledge
- Prerequisites:
- Basic understanding of data concepts
- Introductory SQL knowledge (helpful but not mandatory)
- Basic Python programming experience (preferred)
- Computer with internet access
- Willingness to learn cloud and data technologies
Curriculum Highlights
- Key Topics Covered:
- Fundamentals of Data Engineering (roles, data lifecycle, ETL processes)
- Apache Spark Core (RDDs, transformations, actions, Spark architecture)
- Spark SQL (DataFrames, Hive integration, query optimization)
- Spark Streaming (real-time processing, micro-batching, structured streaming)
- Python for Data Engineering (NumPy, Pandas, data visualization with Matplotlib/Seaborn)
- SQL (Basic & Advanced) (joins, window functions, stored procedures, Python-SQL integration)
- Azure Cloud Fundamentals (Azure Storage, Azure Data Factory, Azure Synapse, security)
- Databricks with PySpark (data ingestion, orchestration, performance tuning)
- Capstone Projects (ADF pipelines, Databricks implementations, CI/CD for data solutions)
- Key Skills Learned:
- Designing scalable data pipelines using Azure Data Factory
- Building ETL/ELT workflows with PySpark and Databricks
- Optimizing SQL queries and database performance
- Processing real-time data streams with Spark Streaming
- Visualizing data with Power BI (dashboards, AI integrations)
- Implementing cloud-based data storage (Azure Blob, Data Lake)
- Automating data workflows with CI/CD pipelines
Course Format
- Duration: 50.5 hours on-demand video
- Format: Self-paced online course (lifetime access)
- Resources:
- 2 articles
- Downloadable code repositories
- Hands-on labs (Databricks, Azure portal)
- Quizzes & exercises
- Certificate of completion
- Mobile & TV access
Additional Information
- Course Platform: Udemy
- Instructor Stats:
- 4.4/5 rating (4,016 reviews)
- 47,205 students enrolled
- 4 courses published
- Focus Areas:
- Azure data engineering
- PySpark & Databricks
- SQL & Python for data
- Cloud-based ETL/ELT
- Real-world capstone projects