Technology
Apache Hadoop MapReduce
Last fetched
Apache Hadoop MapReduce is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under big data processing, with a published adopter count of 4,306 hostnames.
Profile
- Category
- big data processing
- Broader grouping
- data management
- Published adopter count
- 4,306
- Vendor
- apache.org
Apache Hadoop MapReduce is a programming model and software framework for processing large data sets in parallel across distributed computing clusters. It divides tasks into a Map phase, which processes input data into intermediate key-value pairs, and a Reduce phase, which aggregates those pairs to produce final results. The framework provides fault tolerance by automatically re-executing failed tasks and is designed to operate on commodity hardware, making it suitable for batch-oriented, large-scale data processing workloads.
Vendor site: https://hadoop.apache.org/docs/r1.2.1/mapred_tutorial.html
Sample adopters
20 hostnames WhisperGraph observed running Apache Hadoop MapReduce, a sample of the 4,306 published adopters.
Related pages
Pivot from Apache Hadoop MapReduce into its category and the vendor behind it.
Queries
Resolves the slug's technology-name candidate(s) and projects the winner's fields.
MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
winner.description AS description,
winner.category AS category,
winner.parentCategories AS parentCategories,
winner.adopterCount AS adopterCount,
winner.url AS url,
winner.vendorApex AS vendorApex,
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