The Big Data Course provides a practical introduction to the concepts, technologies, and tools used to manage, process, and analyze large and complex datasets. Learners will understand the fundamentals of Big Data, distributed computing, data storage, batch and real-time processing, and analytics.
The course covers popular Big Data technologies such as Hadoop, Apache Spark, Hive, Kafka, and HBase, along with practical exercises and real-world use cases. It is designed to help learners build the technical foundation needed to work with large-scale data in modern data-driven environments.
Course Outcomes
Understand Big Data concepts, characteristics, and architecture.
Work with Hadoop and distributed data processing concepts.
Understand and use Apache Spark for large-scale data processing.
Perform data querying and analysis using Hive.
Understand Kafka and real-time data streaming concepts.
Learn the fundamentals of HBase and NoSQL data storage.
Process, transform, and analyze large datasets.
Understand batch and real-time data processing workflows.
Apply Big Data technologies to real-world business use cases.
Develop practical skills through hands-on Big Data projects.