Gain a comprehensive understanding of big data, from its definition and significance to its real-world applications across industries.
Delve into the challenges of handling massive datasets, including storage, processing, and analysis, while exploring how big data drives innovation in areas like business intelligence, healthcare, and technology.
Master industry-standard tools like Hadoop, Spark, and Kafka to process and analyse massive datasets.
Understand their applications in real-world scenarios, including large-scale data transformations and streaming analytics.
Delve into machine learning techniques tailored for big data, including scalable algorithms and distributed computing approaches.
Gain hands-on experience in applying predictive models and clustering methods to large-scale datasets.