Big Data Processing

This course covers such topics: Basic concepts and terms of Big Data. The main advantages, problems and disadvantages of Big Data. Big Data Characteristics. Big data generation and processing technologies. Application in various fields. Data life cycle phases. Data storage, analysis and visualization. Visualization of texts, clusters, associations, hypotheses, decision trees. Multidimensional and grid visualization. Gephi classification. Machine learning and data mining. Big Data Infrastructure. Big Data Properties and Constraints. Interfaces. Cloud service models, cloud resources, cloud services. SQL and NoSQL databases. Big Data Management. Big Data Security. Tools and software for working with Big Data.