List I (Technology) List II (Description) A. Apache Kafka I. Platform for…
2022
List I (Technology) | List II (Description) |
A. Apache Kafka | I. Platform for constructing data flows for ETL processing and analysis of large datasets. |
B. Pig | II. General-purpose computing model and runtime system for distributed data analytics. |
C. Apache Mahout | III. Open-source platform that was created by LinkedIn. |
D. MapReduce | IV. Open-source platform used for creating scalable machine learning algorithms. |
Match List I and List II
- A.
A-II, B-IV, C-I, D-III
- B.
A-II, B-I, C-IV, D-III
- C.
A-III, B-I, C-IV, D-II
- D.
A-I, B-II, C-IV, D-III
Attempted by 40 students.
Show answer & explanation
Correct answer: C
Correct matching: Apache Kafka → Open-source platform created by LinkedIn; Pig → Platform for constructing data flows for ETL and analysis of large datasets; Apache Mahout → Open-source platform for creating scalable machine learning algorithms; MapReduce → General-purpose computing model and runtime system for distributed data analytics.
Apache Kafka: a distributed messaging/event-streaming platform originally developed at LinkedIn, so it matches the description 'Open-source platform that was created by LinkedIn.'
Pig: a high-level scripting platform used to construct data flows and perform extract, transform, and load (ETL) processing and analysis of large datasets, matching the ETL/dataflow description.
Apache Mahout: an open-source project focused on creating scalable machine-learning algorithms, matching the scalable machine learning description.
MapReduce: a general-purpose distributed computing model and runtime system used for processing large datasets across clusters, matching the distributed computing model description.
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