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Explanation: Big Data refers to large, complex datasets characterized by the 3Vs —volume (sheer size of data), velocity (speed of data generation and processing), and variety (structured, unstructured, and semi-structured formats). Traditional Data, on the other hand, is smaller in scale, structured, and typically managed using relational databases like SQL. Big Data technologies (e.g., Hadoop, Spark) handle vast datasets, enabling advanced analytics such as machine learning and real-time processing, whereas Traditional Data is used for routine business operations and small-scale analytics. Understanding these differences is critical for selecting appropriate tools and techniques for data analysis. Option A: Both SQL and NoSQL databases can handle traditional and Big Data, depending on use cases. Option C: Big Data often requires significant preprocessing and cleaning due to its complexity. Option D: Both can be used for predictive and real-time analytics; it depends on the tools and methods used. Option E: Big Data can be stored on physical servers; distributed systems are used for scalability.
With reference to the economic history of medieval India, the term 'Araghatta' refers to:
Consider the following statements regarding the Vijayanagar empire:
It was named after the city of Vijaya...
Who was the last ruler of Mauryan dynasty?
Begum Hazrat Mahal was the consort of which Nawab of Awadh?
Who authored the historical chronicle 'Akbarnama,' detailing the reign of Mughal Emperor Akbar?
Who was the patron deity of Vijayanagar?
Which Mughal Emperor originally built the Aram Bagh, the oldest Mughal garden in India?
Which king was the patron of the renowned poet Kalidasa?
Bhand Pather is the traditional theatre form of which of the following states?
The Jallianwala Bagh Massacre occurred in which year?