Big Data Chapter 6

Virtual and Augmented Reality

• Augmented Reality (AR) layers computer-generated enhancements onto reality, interactable through cameras or input devices like smart glasses.
• Virtual Reality (VR) creates a realistic and immersive 3D simulation, experienced and controlled through the body, encompassing the senses.
• Mixed Reality (MR) is an interactable virtual simulation that generates in the real world, without creating an alternative reality.
• MR requires more powerful processing power than AR.

Applications of AR & VR

• Medicine: simulates the human body for research and training purposes.
• Training Applications: used for militaristic purposes, such as navigating unfamiliar battlefields, and simulating driving for a real-life experience.
• Education: used to help children learn and understand concepts.
• Development Work: AR helps understand and visualize interactions between people and development plans.

Big Data

• Big Data refers to a large volume of data that must be mined to acquire information for various purposes.
• Types of Big Data include Unstructured Data (e.g., images, videos, audio, pdf) and Structured Data (e.g., excel tables, credit card numbers).
• Importance of Big Data:
  • Useful knowledge can be mined from big data.
  • More useful information can be collected, increasing the amount of useful data.
  • More corporations will make use of big data, creating jobs.
  • It will benefit companies by $430 billion.

Data Sizes

• Bit = 0 or 1.
• Byte = 8 bits.
• Kilobyte (KB) = 1024 bytes.
• Megabyte (MB) = 1024 KB.
• Gigabyte (GB) = 1024 MB.
• Terabyte (TB) = 1024 GB.
• Petabyte (PB) = 1024 TB.
• Exabyte (EB) = 1024 PB.
• Zettabyte (ZB) = 1024 EB.
• Yottabyte (YB) = 1024 ZB.

Big Data Analysis

• Building models based on collected data.
• Running simulations.
• Tweaking data points and observing yielded results.

Uses of Big Data

• Companies can predict customer segments and wanted goods.
• Analyzing data to acquire insights and make informed decisions.

Characteristics of Big Data

• Volume: the massive amount of data attained from various sources.
• Variety: the types of data generated.
• Velocity: the speed of data collected, generated, and analyzed.
• Veracity: the trustworthiness of data.
• Value: the importance of data to the business.
• Variability: the ways in which big data can be utilized.
• Viscosity: the resistance when navigating data.
• Visualization: diverse ways of representing data.

Applications of Big Data

• Understanding and targeting customers.
• Optimizing business processes.
• Personal qualification and performance optimization.
• Improving health and public health.
• Improving sports performance.
• Improving science and research.
• Optimizing machines and drive performance.
• Improving security and law enforcement.
• Improving and optimizing cities and countries.
• Financial trading.

Blockchain

• A distributed public ledger (database) shared among multiple people.