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.
The _________ property of the element is a whole number.
Which of the following is the most reactive element in the Periodic table?
Which substance is commonly used as a thermometric material in thermometers due to its expansive properties under temperature changes?
What is the primary purpose of using bleaching powder in drinking water?
Litmus paper, used to test pH levels, is derived from which organism?
What is the primary use of calcium carbonate in antacid tablets?
Formula of ‘Quick Lime’ is __________
What are antibiotics?
What term describes the enthalpy change when a substance transitions from solid to liquid at its melting point?
Which gas is most abundant in the Earth's atmosphere.