Big Data and IoT Integration

Big Data and IoT Integration focuses on the convergence of large-scale data analytics and Internet of Things technologies. Participants will engage in hands-on projects that explore the practical applications of data collection, processing, and analysis in IoT environments. The course emphasizes real-world scenarios where data-driven decision-making enhances operational efficiency and innovation across various industries.
The curriculum is structured to provide a comprehensive understanding of both theoretical concepts and practical implementations. By participating in collaborative projects, learners will not only deepen their technical skills but also gain valuable experience in presenting their findings. The opportunity to publish results in Cademix Magazine further enhances the visibility of participants’ work, fostering professional growth and networking within the industry.
Introduction to Big Data Concepts and Technologies
Overview of IoT Architecture and Protocols
Data Collection Techniques from IoT Devices
Data Storage Solutions for Big Data
Data Processing Frameworks: Hadoop and Spark
Real-time Data Analytics and Stream Processing
Machine Learning Applications in IoT
Data Visualization Tools and Techniques
Integration of IoT and Cloud Computing
Final Project: Developing a Big Data Analytics Solution for an IoT Application

Equip participants with the skills to integrate Big Data analytics with IoT systems, enabling them to design and implement data-driven solutions.

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

Basic understanding of programming (Python or R), familiarity with data structures, and introductory knowledge of data analytics concepts.