Introduction to Big Data

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What is Big Data?

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Big Data refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interaction.

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What are the 3 Vs of Big Data?

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Volume, Velocity, and Variety.

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What is structured data?

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Structured data is organized data that can be easily stored, accessed, and processed in a fixed format, such as databases.

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What is unstructured data?

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Unstructured data is any data that does not have a predefined data model or structure, making it more challenging to process.

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What is semi-structured data?

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Semi-structured data contains both structured and unstructured elements, such as XML files.

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What is the CAP Theorem?

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The CAP Theorem states that in a distributed data store, it is impossible to simultaneously guarantee all three of the following: Consistency, Availability, and Partition Tolerance.

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What is the BASE concept?

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BASE stands for Basically Available, Soft state, and Eventually consistent, which is a model for distributed systems.

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What are some challenges with Big Data?

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Challenges include capture, storage, search, sharing, transfer, analysis, privacy violations, and visualization.

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What is Hadoop?

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Hadoop is an open-source framework that allows for the distributed processing of large data sets across clusters of computers.

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What is the difference between SQL and NoSQL?

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SQL databases are relational and use structured query language, while NoSQL databases are non-relational and can handle unstructured data.