Types of Data
What is structured data?
Organized data that is formatted in predefined ways, suitable for traditional databases.
What is a merit of structured data?
Efficient storage, querying, and insights for quantitative analysis.
What is a limitation of structured data?
It lacks the flexibility to represent complex relationships.
How is big data used in business intelligence?
It is analyzed to derive insights that guide business strategies and decisions.
What is data science?
An interdisciplinary field that combines statistics, computer science, and domain expertise to analyze and interpret complex data.
What is unstructured data?
Data that lacks a predefined structure, containing diverse content such as text and images.
What is a merit of semi-structured data?
Accommodates complex relationships and hierarchical structures.
What is a limitation of semi-structured data?
Analyzing and querying may require complex techniques.
What are some industries that benefit from big data?
Healthcare, finance, retail, and marketing are a few examples.
How does big data contribute to data science?
It provides the vast datasets necessary for developing predictive models and conducting analyses.
What is semi-structured data?
Data that combines elements of both structured and unstructured data, allowing for flexibility and complex relationships.
What is a merit of unstructured data?
Captures qualitative aspects that structured data might overlook, providing rich insights.
What is a limitation of unstructured data?
The lack of a predefined structure complicates organization and retrieval.
How does big data impact decision-making?
Provides data-driven insights that enhance accuracy and effectiveness in decisions.
What technologies are used in big data
Technologies include Hadoop, Spark, and various databases like NoSQL.
What are some examples of quasi-structured data?
Data formats that have some organizational properties but do not fit into a strict structure, like emails or XML files.
How does unstructured data benefit innovation?
Fuels advancements in fields like natural language processing and image recognition.
How does data complexity affect unstructured data?
It complicates data organization, storage, and retrieval.
What is the role of big data in machine learning?
It provides large datasets needed for training models and improving algorithms.
What are the challenges of big data analytics
Challenges include data quality, integration, and the complexity of analysis.
How does data type affect data processing?
Different data types require specific processing techniques and technologies, impacting efficiency and analysis.
Why is semi-structured data considered flexible?
It can adapt to changes in data formats without major alterations to processing systems.
Why can data integrity be an issue with semi-structured data?
Its flexible nature can lead to inconsistencies and validation challenges.
How does big data change marketing strategies?
Enables targeted advertising through data analysis of consumer behavior.
How do data scientists use big data?
They analyze it to extract insights, build models, and drive decision-making processes.