MapReduce
(แมปรีดิวซ์)
Definition
MapReduce (แมปรีดิวซ์) Tool
MapReduce is a programming model and processing technique used for large-scale data processing by dividing tasks into map and reduce functions to efficiently handle and analyze big data across distributed systems.
Expertise Level
Level 1
Basic
1. Understands the basic concept of MapReduce, including map and reduce phases.
2. Can run simple MapReduce jobs using existing frameworks like Hadoop.
3. Familiar with key terminology such as mapper, reducer, and input/output format.
Level 2
Intermediate
1. Can design and implement custom map and reduce functions to solve specific problems.
2. Understands how to optimize MapReduce jobs for better performance and resource management.
3. Able to troubleshoot common errors and monitor job execution in distributed environments.
Level 3
Advanced
1. Can architect complex data processing pipelines leveraging MapReduce along with other big data tools.
2. Experienced in tuning cluster and job-level configurations to maximize throughput.
3. Able to extend MapReduce functionality or develop new frameworks inspired by MapReduce concepts.
