Services
Technology Web App Development Mobile App Development Windows App Development Database Development UI/UX Development Cloud Development SEO Digital Marketing Guest Posting Content Writing Artificial Intelligence Data Science ERP Development CRM Development CMS Development LMS Development Business Listing Blockchain Technology Startup Promotion AI Tools Integration
Products
Data Converter Cleaner TUC - Unit Converter Import Export Survey Manager Tweet Controller
Developer
Article Blog Forum Interview Beginner News Startup Quiz
Users
Career
Apply Job Internship
Pricing
Login Sign Up Get a Quote

interview

home / developersection / interviews / what is the characteristic of streaming api that makes it flexible run mapreduce jobs in languages like perl, ruby, awk etc.?
Ask Question

What is the characteristic of streaming API that makes it flexible run MapReduce jobs in languages like Perl, Ruby, Awk etc.?

Anonymous User 2741 20 Jan 2015
.net hadoop
Updated 16 Sep 2020
Anonymous User
Anonymous User

Other

I am a content writter !

Message

1 Answers

Anonymous User
Anonymous User 20 Jan 2015
Report Abuse
Hadoop Streaming allows to use arbitrary programs for the Mapper and Reducer phases of a MapReduce job by having both Mappers and Reducers receive their input on stdin and emit output (key, value) pairs on stdout.
MindStick Training
Markdown for AI

A clean, structured version of this page for AI assistants and LLMs.

Open .md