Data Science and Big Data

  1. Emergence of Big Data Technologies
    1. Historical Context
      1. Evolution from Traditional Data Processing
        1. Transition from relational databases to big data paradigms
          1. Role of distributed computing and storage in handling large datasets
            1. Decrease in data storage costs and consequential data accumulation
            2. Rise of Internet and IoT
              1. Proliferation of mobile devices and sensors
                1. Generation of vast, continuous streams of structured and unstructured data
                  1. Importance of connectivity and network capacity in data transmission
                2. Impact on Industries
                  1. Retail
                    1. Personalization and targeted marketing using customer data
                      1. Inventory management and demand forecasting
                        1. Dynamic pricing models powered by real-time analytics
                        2. Manufacturing
                          1. Predictive maintenance and operational efficiency
                            1. Supply chain optimization using data analytics
                              1. Automation and smart factory initiatives
                              2. Telecommunications
                                1. Network optimization and traffic management
                                  1. Development of new services using customer usage data
                                    1. Fraud detection and churn prediction through data insights
                                  2. Societal Implications
                                    1. Privacy Concerns
                                      1. Data ownership and control issues
                                        1. Challenges in securing personal information amidst vast data collection
                                          1. Public awareness and understanding of data privacy
                                          2. Employment and Workforce Dynamics
                                            1. Shifts in job roles and skills needed in data-centric environments
                                              1. Creation of new career opportunities in big data analytics
                                                1. Impact on traditional industries and jobs with automation and AI advancements