Question

Compared with multithreading, Hadoop simplifies programming effort by ---

A. eliminating the need of writing code of mapping.
B. eliminating the need of writing code of reducing.
C. generating executable from visual workflow.
D. automatically generating the required number of task trackers.
E.automatically partition the data among the nodes.

Answer 1

Compared to multithreading, Hadoop simplifies programming effort by automatically partitioning data among nodes.

Step-by-step explanation:

Compared with multithreading, Hadoop simplifies programming effort by automatically partitioning the data among the nodes. This means that the programmer does not have to manually write code to distribute and manage the data across the different processing nodes.

Instead, Hadoop takes care of this automatically, simplifying the programming process. The programmer can focus on implementing the logic for mapping and reducing tasks, while Hadoop handles the distribution and coordination of the data.

In contrast, with multithreading, the programmer would need to explicitly write code to handle the data partitioning and synchronization among the threads, which can be more complex and error-prone.