Unlock the power of data with the Microsoft Big Data Management and Analytics Professional Certificate. Organizations today rely on experts who can design, manage, and optimize big data systems to drive innovation and insight. This program prepares you for roles such as Big Data Engineer, Data Analyst, Data Scientist, or Cloud Solutions Architect, equipping you with skills that are in high demand across industries.

Throughout five hands-on courses, you will gain both foundational knowledge and applied experience with Microsoft’s leading big data tools and platforms. You will:

• Understand big data fundamentals and cloud-based architectures

• Design and implement data lakes and data warehouses with Azure Data Lake and Synapse Analytics

• Build ETL/ELT pipelines and streaming solutions using Azure Data Factory, Event Hubs, and Stream Analytics

• Process and analyze data with Apache Spark, PySpark, and Azure Databricks

• Create visualizations and dashboards with Power BI and Fabric Copilot

• Apply machine learning and NLP techniques at scale with PySpark ML and Azure Machine Learning

• Implement governance and compliance using Microsoft Purview

• Optimize cost, performance, and scalability for enterprise big data systems

To be successful, you should have prior knowledge of Python and basic SQL. By the end, you’ll complete portfolio-ready projects—ranging from architecture diagrams to streaming pipelines and Power BI dashboards—that demonstrate job-ready skills in big data analytics.

Übungsprojekt

In this Professional Certificate, you will complete hands-on labs and applied projects that simulate real-world challenges faced by data engineers and analysts. You’ll design and document a big data architecture using Microsoft Azure services, build end-to-end ETL pipelines with Azure Data Factory, and implement real-time streaming solutions with Event Hubs and Stream Analytics. You will process and analyze large datasets with Apache Spark and PySpark, develop advanced queries in Spark SQL, and create interactive dashboards in Power BI. Projects also include applying machine learning models at scale with PySpark ML, integrating Generative AI tools, and configuring data governance frameworks with Microsoft Purview. By the end of the program, you’ll have a professional portfolio that demonstrates your ability to design, implement, and optimize enterprise-grade big data solutions—skills you can showcase in resumes, interviews, and on LinkedIn.