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What is the significance of Sliding Window operation?

a. Sliding Window is a window management software for Spark.
b. Sliding Window helps reduce the Spark application's memory usage.
c. Sliding Window is used for data visualization in Spark.
d. Sliding Window enables time-based operations on streaming data in Spark.

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Final answer:

The Sliding Window operation in Spark enables time-based operations on streaming data.

Step-by-step explanation:

The significance of the Sliding Window operation in Spark is d. Sliding Window enables time-based operations on streaming data in Spark.

Sliding Window is a technique used in stream processing to perform calculations and computations on a subset of data within a specific time window. It allows us to analyze and process data in near real-time, keeping track of the most recent data points within the window.

For example, in a streaming application that processes stock market data, a Sliding Window operation with a window size of 5 minutes can be used to calculate moving averages of stock prices, which can be valuable for making investment decisions.

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