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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.
Statements :
Only a few Toy is Game.
All Games are Players.
No Player is Sport.
Conclusion :
I. At least some Pla...
Statements:
Each Local is Town.
Some Towns are State.
No Town is Village.
Conclusions:
I: No Local is Village.
II: Some State are Locals.
Statements: All flowers are books.
All books are carpets.
Some carpets are keys.
Some keys are locks.
Conclusions:I. Some ke...
Statements:
No book is a pencil.
All books are boards.
All boards are dusters.
No eraser is a duster.
Statements:
Only a few Meeting is Timing
Only a few Conversation is Meeting
No Conversation is Delegation
Conclusions:
<...Statements: Some reds are blues.
All blues are greens.
Some greens are not yellows.
Co...
Statements:
No key is a lock.
All locks are doors.
All windows are doors.
All windows are walls.
Conclusions:
Statements:
Some Sodas are Juice.
All Juices are Lime.
No Juice is Coke.
Some Cokes are Pepsi.
Conc...
Statements: Some wires are widths.
No width is a length.
Concl...
Read the given statements and conclusions carefully. Assuming that the information given in the statements is true, even if it appears to be at varianc...
