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| author | msabhi <abhi.is2006@gmail.com> | 2016-12-04 07:18:33 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-12-04 07:18:33 -0500 |
| commit | b90835ab7de523f18149ae26b3e972c6f6407e1e (patch) | |
| tree | de670ea7044454d9d95b946b91ced74cfc289a2c | |
| parent | 14db63f36aae0f4ab6472244d0f1acd461482f0e (diff) | |
Update big-data.md
| -rw-r--r-- | chapter/8/big-data.md | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/chapter/8/big-data.md b/chapter/8/big-data.md index d823b09..c6baac0 100644 --- a/chapter/8/big-data.md +++ b/chapter/8/big-data.md @@ -125,6 +125,7 @@ Other benefits include the scheduling of tasks based on data locality to improve - Limitations ? **Pregel** + Pregel is an implementation of classic BSP model by Google (PageRank) to analyze large graphs exclusively. It was followed by open source implementations - Apache’s Giraph and Hama; which were BSP models built on top of Hadoop. Pregel is highly scalable, fault-tolerant and can successfully represent larger complex graphs. Google claims the API becomes easy once a developer adopts “think like a vertex” mode. |
