Sentence examples for multiple large Hadoop from inspiring English sources

"The Hadoop compute system is the core of our data platform, and Twitter runs multiple large Hadoop clusters that are among the biggest in the world," explained Twitter CTO Parag Agrawal, in the announcement.

This shows that a larger Hadoop cluster can be used to obtain better performance.

For example, in 2010 Facebook claimed that they had the largest Hadoop cluster in the world with 21 PB of storage (a Petabyte is 10 to the 15th power bytes of digital information).

On a large scale, Hadoop allows multiple petabytes of data storage across hundreds or thousands of physical storage servers or nodes.

Today, vendors and developers are bogged down with fixing applications and testing them in multiple versions of Hadoop after every release, and slowed in their migration of custom-built apps to a new version of Hadoop.

CloudBurst is a MapReduce-based read-mapping algorithm modeled after RMAP, but runs in parallel on multiple machines with Hadoop.

One of the frameworks developed for analyzing and transformation of very large datasets is Hadoop that employs MapReduce [ 42, 43].

The largest users of Hadoop — including eBay and Yahoo! — both run Spark inside their Hadoop clusters.

Especially, large graph mining on Hadoop has been researched extensively, due to its simplicity and massive scalability.

Therefore, Hadoop is capable of performing time-critical calculations by distributing tasks and large datasets over multiple computer nodes, supporting big data scaling, and enabling fault-tolerant parallelized analysis.

Failures are mostly inevitable when Hadoop runs at large scales.