Course Category: BIG DATA

This program explores the integration of Big Data and machine learning to gain advanced insights. Participants will learn the steps involved in building a machine learning model—from data ingestion to prediction—using frameworks such as TensorFlow or Scikit-Learn. The module includes practical case studies in fields such as finance, healthcare, and marketing, helping participants understand how Big Data supports decision-making through predictive models.

This module covers the fundamentals of Big Data, its key concepts, and the challenges it presents for businesses. Participants will explore commonly used tools and platforms such as Hadoop and Spark, along with Big Data architectures. The focus is on data collection, storage, and processing at scale, with practical examples of how Big Data is applied across various industries.

This training dives deep into using Apache Spark for large-scale data analysis. Participants will learn to leverage Spark for both real-time and batch processing, manipulate data using Spark SQL, and integrate machine learning algorithms for predictive analytics. This course is designed for data analysts and Big Data engineers who want to master performance optimization and execution speed in large-scale data environments.