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Stream processing involves continuously analyzing data as it arrives, which is ideal for real-time applications. It processes data in real-time, as opposed to waiting for a complete dataset, making it highly efficient for scenarios requiring immediate insights, such as fraud detection, social media analytics, and sensor data analysis. Stream processing frameworks include Apache Storm, Flink, and Spark Streaming. Batch Processing: Involves processing data in large chunks rather than continuously. It is not real-time. MapReduce: A programming model used for batch processing large datasets, not real-time processing. Hadoop: A framework that supports batch processing but not real-time stream processing. HDFS: The Hadoop Distributed File System (HDFS) is for storing large data sets, not processing them.
Who among the following lives two floors above the floor on which A lives in the same flat?
____ is kept on the eighth position?
How many persons participate before D?
Who among the following lives immediate above the vacant flat?
Seven persons, Shikha, Garima, Nidhi, Pooja, Manisha, Neena and Anu, lives in a 7-storey building, but not necessarily in the same order. The bottommost...
Which of the following statement is/are not true?
I. One person was born between C and the one who likes Mysore.
II. The one who likes Har...
Who among the following faces the one who teaches Physics?
who among the following persons attend the exam on Saturday?
How many persons are starting the business between B and M?
In which floor and flat does S live?