11.3.2 Scientific research

• Big Data refers to large datasets that cannot be easily processed or managed using traditional data processing methods
• What is the "Volume" attribute of Big Data characterized by?

  Large amount of data
• What does the "Velocity" attribute of Big Data describe?

  Speed of data processing
• Social media data is considered Big Data due to its volume, velocity, variety, and veracity.
• Big Data allows researchers to analyze large datasets to uncover new insights
• Match the field with its Big Data application:

  Genetics ↔️ Identifying disease markers

  Astronomy ↔️ Mapping galaxies

  Climate Research ↔️ Predicting weather patterns
• What type of data is used in genetics to understand gene expression?

  DNA sequencing data
• Big Data is characterized by the four V's: volume, velocity, variety, and veracity.
• Steps in analyzing Big Data in scientific research

  1️⃣ Data collection

  2️⃣ Data cleaning

  3️⃣ Data processing

  4️⃣ Data analysis

  5️⃣ Interpretation of results
• In which scientific fields is Big Data used to improve understanding?

  Genetics, astronomy, climate research
• DNA sequencing data helps identify disease markers in genetics research.
• Genetics uses Big Data to understand gene expression and identify disease markers
• Match the Big Data application with its benefit:

  Genetics ↔️ Faster disease diagnosis

  Astronomy ↔️ Better cosmological models

  Climate Research ↔️ Improved climate forecasts
• What does analyzing gene expression patterns help identify in genetics research?

  Therapeutic targets
• What is a major challenge of using Big Data in scientific research?

  Complex storage
• Big Data requires specialized expertise to manage and analyze effectively.
• In genomics, Big Data helps map gene expression to identify disease markers