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Introduction to Big Data · End Term · 22 Dec 2024 · September 2024 term · Set QDB4

Question 16: What differentiates “streaming processing” from “batch p…

Question 16

+3 marksOne or more correct options

What differentiates “streaming processing” from “batch processing” in the context of big data?

Select all that apply.

  1. A

    Batch operates on a set of data elements taken together while streaming operates on data individually as it streams in

  2. B

    Batch operates on data that is static while streaming operates on data that is dynamically changing

  3. C

    Batch processing can assume data as fully specified and complete while streaming cannot make that assumption

  4. D

    Batch processing is typically high latency while streaming processing is necessary for real-time latencies

  5. E

    Batch processing can operate on massively larger data sets than streaming can

Show answer

Correct answers

  • B

    Batch operates on data that is static while streaming operates on data that is dynamically changing

  • C

    Batch processing can assume data as fully specified and complete while streaming cannot make that assumption

  • D

    Batch processing is typically high latency while streaming processing is necessary for real-time latencies

Question 16 of 21 in the IIT Madras BS Introduction to Big Data (Intro to Big Data) End Term paper sat on 22 Dec 2024, in the September 2024 term (IIT M DEGREE AN EXAM QDB4 22 Dec 2024). It carries 3 marks.

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