This Big Data training program is designed for students, data professionals, and working IT engineers who want to build strong, industry-ready skills in modern Big Data and analytics platforms. The course covers Big Data fundamentals, Apache Spark, Python, and Microsoft Fabric, with a focus on real-world implementation.
Students will learn distributed data processing using Apache Spark, including Spark architecture, DataFrames, Spark SQL, and performance optimization techniques. Alongside this, the course introduces Microsoft Fabric as a unified analytics platform, covering OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Power BI integration within Fabric.
The training is hands-on and use-case driven, based on real industry scenarios. Learners will work with practical datasets and understand how Big Data solutions are built, deployed, and optimized in enterprise environments. Special emphasis is given to end-to-end data engineering workflows using Spark and Fabric.
Basic programming knowledge is recommended. Students should have a laptop with internet access. All required tools, datasets, and learning materials will be provided. This course is ideal for those preparing for Big Data and Azure Data Engineer roles and looking to gain practical exposure to Microsoft Fabric.