Question
Which of the following Big Data processing models is
based on the concept of continuous data flow processing?ÂSolution
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.
If the mean of a dataset is 10 and the mode is 5, what is the median?Â
Train ‘A’ can cross a pole in 8 seconds and a 70 metre long platform in 12 seconds. If the ratio of length of train ‘A’ and train ‘B’ is 2:5...
Consider the following statements in regards to Poshan Pakhwada:
1. Poshan Pakhwada is celebrated in the month of March for 15 days
2...
Which of the following factors are likely to act as an obstacle for India to be a part of the global assembly chain for the Networked products?
�...
The foreign traveller who visited India during Vijayanagar period was?
Which state in India enacted the first Advocates Protection Act to ensure the safety and protection of lawyers?
A Safety Officer must be appointed in factories employing at least:
Which of the following is not the indicator of Human Development Index?
The country's first commercial-scale biomass-based hydrogen plant is coming up in which district of Madhya Pradesh?
Which of the following disputes is/are considered as trade dispute(s) under the provision of the trade Union Act, 1926 ?
Any dispute of any perso...
