Arrange the following steps of the Map reduce framework A. Input Splitting B. Reducing C. Mapping D. Shuffling & Sorting Choose the correct answer from the options given below:
MapReduce Framework Steps Explained
The MapReduce framework processes large datasets in parallel. Understanding the sequence of its core steps is crucial.
Core MapReduce Workflow
The MapReduce process involves several distinct stages executed in a specific order:
- Input Splitting (A): The initial step where the input dataset is divided into smaller, manageable chunks called splits. This allows for parallel processing.
- Mapping (C): Each input split is processed independently by a mapper function. Mappers transform input data into intermediate key-value pairs.
- Shuffling & Sorting (D): Intermediate key-value pairs from all mappers are gathered. They are then sorted by key and grouped, ensuring all pairs with the same key are sent to the same reducer.
- Reducing (B): Reducer functions process the grouped intermediate data. They aggregate or summarize the values for each key to produce the final output.
Therefore, the correct sequence of the MapReduce framework steps is Input Splitting, Mapping, Shuffling & Sorting, and Reducing.
Order of MapReduce Operations
The correct order is represented by the sequence:
A (Input Splitting) → C (Mapping) → D (Shuffling & Sorting) → B (Reducing)
This corresponds to the order A, C, D, B.
Important Questions from Big Data
Which of the following statement(s) is/are correct regarding On-Line Transaction Processing (OLTP)?
I. Responses to the user inquiry are immediate.
II. The associated cost is economical with efficient utilization of resources.
III. The database is always up-to-date.
The data node and name node in HADOOP are
In reference to Big data, consider the following database:
(A) Memcached
(B) Couch DB
(C) Infinite graph
Choose the most appropriate answer from the options given below:
Which of the following statement/s is/are true?
(i) Facebook has the world’s largest Hadoop cluster.
(ii) Hadoop 2.0 allows live stream processing of real time data
Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: HDFS follows a master-slave architecture with Name Node and Data Nodes.
Reason R: Name Node stores metadata, while Data Nodes store actual data blocks.
In the light of the above statements, choose the most appropriate answer from the options given below
