Data Engineering with Azure

Data Engineering with Azure provides an in-depth exploration of data pipeline creation, management, and optimization using Microsoft Azure's suite of tools. Participants will engage in hands-on projects that simulate real-world scenarios, focusing on data ingestion, transformation, and storage solutions. The course emphasizes practical applications, enabling learners to design efficient data architectures and implement scalable solutions tailored to various business needs.
Through interactive learning, participants will not only acquire technical skills but also have opportunities to publish their project outcomes in Cademix Magazine, fostering a culture of knowledge sharing and professional growth. This program is structured to equip graduates, job seekers, and business professionals with the expertise required to excel in the evolving field of data engineering, ensuring they are well-prepared for current job market demands.
Introduction to Azure Data Services
Data Ingestion Techniques using Azure Data Factory
Designing Data Pipelines with Azure Data Factory
Data Storage Solutions: Azure Blob Storage and Azure Data Lake
Data Transformation with Azure Databricks
Implementing Data Warehousing Solutions using Azure Synapse Analytics
Real-time Data Processing with Azure Stream Analytics
Data Integration Techniques with Azure Logic Apps
Monitoring and Managing Data Pipelines in Azure
Final Project: Building a Complete Data Pipeline Solution on Azure

Equip participants with the skills to design and implement data engineering solutions using Azure technologies.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of data analytics and familiarity with cloud computing concepts.