Azure Data Engineering Masters: Build Scalable Solutions

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.