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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.
When will a person, who opted Composition Levy, have to pay tax in GST?
The point at which the liability to charge tax arises is called as the
Which of the following is a limitation of accounting that can affect the accuracy and usefulness of financial statements?
Subodh and Rina go to a shop. Subodh says to the shopkeeper, "Naresh, let Rina have the goods and if she does not pay you, I will." This is a ________.
If the PV ratio us 80% and MOS is 20000. Calculate FC if SP per unit is 5 and Contribution is 40000.
Which of the following is not regarded as Time adjusted or Discounted Cash flows technique of capital budgeting?
Which one of the following conditions should be fulfilled for an employee to be a specified employee?
Which of the following is true?
Read the following information to answer the below questions:
The format of the Financial Statement of a company is prescribed in:
