Which of the following Big Data processing models is based on the concept of continuous data flow processing?
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.
. In the following question, find which one word cannot be made from the letters of the given word “CORRESPONDENCE”
If the last twelve elements in the above arrangement are arranged in a reverse order, then which of the following will be twenty four from the left end...
What will come in place of question mark (?) in the following series?
DLN CKO BJQ ? ZHX...
Select the option that is related to the fourth term in the same way as the first term is related to the second term.
POP : KLU :: FMO : ______
_________ term is used for those hardware devices that are not part of the main computer system and are often added later to the system.
In the given series, what is the sum of the numbers, which is immediately succeeded by a symbol?
In the given series, if all the consonants are removed, then which element is ninth from the right end?
In a certain code language, ‘PLAN’ is coded as ‘47’ and ‘MARK’ is coded as ‘47’. How is ‘BIRD’ coded in the given code language?
...Holding the mouse button down while moving an object or text is known as __
Which of the following is also known as 'Hard Booting'?
