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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.
Stomata closing can be induced by:
Pest which occurs in isolated locations is known as
The isolation distance for production of loose smut free seeds in wheat is:
Match List-I with List-II and select the correct answer using the codes given below the lists.
Which state is the highest producer of soyabean?
NRLM has a provision for interest subvention, to cover the difference between the Lending Rate of the banks and 7%, on all credit from the banks/financi...
Nymph can be found in the life cycle of ____
Which one is not a symptom of poor drainage:
If demand is more elastic than supply, who will get the larger share of benefits?
Which extension method is suitable for demonstrating techniques like preparing nursery beds, treating seeds with insecticides, line sowing, soil samplin...
