Question

Describe big data and its 7 features.
Describe what is data mining.

Answer 1

Big data refers to extremely large and complex data sets. It has seven features: volume, velocity, variety, variability, veracity, value, and visualization. Data mining is the process of discovering patterns and insights from large datasets.

Step-by-step explanation:

Big Data

Big data refers to extremely large and complex data sets that cannot be easily managed or processed using traditional data processing techniques. It involves the collection, storage, analysis, and visualization of vast amounts of data to extract valuable insights and patterns.

Seven Features of Big Data

1. Volume: Big data refers to a massive amount of data that exceeds the capacity of traditional data storage and processing systems.
2. Velocity: It refers to the speed at which data is generated, collected, and processed.
3. Variety: Big data includes diverse types of data such as structured, unstructured, and semi-structured data.
4. Variability: Big data often exhibits inconsistency and variability in its format, quality, and sources.
5. Veracity: Big data may contain inaccuracies, errors, and uncertainties.
6. Value: The goal of analyzing big data is to extract valuable insights and create value.
7. Visualization: Big data is often visualized using charts, graphs, and other visual representations to facilitate understanding.

Data Mining

Data mining is the process of discovering patterns, relationships, and useful insights from large datasets. It involves using various techniques such as statistical analysis, machine learning, and artificial intelligence to uncover hidden patterns and knowledge.