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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.
The property of catenation is predominant in_______.
Where did the 7th Global Technology Summit recently started?
Plants that grow in saline water are called?
The country Turkey has requested to change the name of its country which is approved by the United Nations?
When is the “Hiroshima Day” observed worldwide?
Indian Institute of Vegetable Research is located at -
Who will be the first impartial female umpire appointed by ICC for a bilateral series?
According to the estimates provided by the Asian Development Bank , what will be the growth of the Indian economy for FY 24?
In May 2021, N Rangaswamy became CM of Puducherry. He became the CM of Puducherry for the ____ time.
India’s first greenfield grain based ethanol production plant inaugurated in ………………….