Exploring Big Data and Analytics

What is Big Data?

• Big Data is a type of software used for data storage.

• Big Data refers to small data sets that are easy to analyze.

• Big Data is only relevant to social media platforms.

• Big Data is large and complex data sets that require advanced tools and techniques for processing and analysis.

Name three key technologies used in Big Data.

• Excel, PowerPoint, Word

• Hadoop, Spark, NoSQL databases

• MySQL, PostgreSQL, Oracle

• Java, Python, C++

What is the purpose of predictive analytics?

• To collect data without any analysis.

• The purpose of predictive analytics is to forecast future events and trends based on historical data.

• To analyze current market conditions only.

• To eliminate the need for data altogether.

Describe one method of predictive analytics.

• Decision trees

• Cluster analysis

• Regression analysis

• Time series analysis

What is the difference between data analytics and data analysis?

• Data analysis is a broader term encompassing various techniques.

• Data analytics and data analysis are interchangeable terms.

• Data analytics is a specific process within data analysis.

• Data analytics is a broader term encompassing various techniques, while data analysis is a specific process within data analytics.

List two common tools used for data analysis.

• Tableau

• Microsoft Excel, Python

• R

• Google Docs

What role does machine learning play in predictive analytics?

• Predictive analytics does not involve any data analysis techniques.

• Machine learning is only used for image recognition tasks.

• Machine learning is primarily focused on hardware improvements.

• Machine learning enhances predictive analytics by identifying patterns in data to forecast future events.

Explain the concept of network analysis.

• Network analysis is the study of relationships and interactions within a network using nodes and edges.

• Network analysis focuses solely on the speed of data transmission.

• Network analysis is the process of creating physical network hardware.

• Network analysis is a method for designing software applications.

How is network analysis applied in computational social science?

• Network analysis focuses solely on the physical infrastructure of the internet.

• Network analysis is used to study relationships and interactions in social networks, revealing patterns and influences among individuals or groups.

• Network analysis is used to track financial transactions in banking systems.

• Network analysis is primarily concerned with the technical performance of computer networks.

What are the challenges associated with Big Data technologies?

• Increased reliance on manual data entry

• Challenges include data storage, processing speed, data quality, integration, security, and skilled personnel.

• Limited use of cloud computing

• High cost of traditional storage solutions