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| author | Joey <joseph.e.gonzalez@gmail.com> | 2013-10-29 21:06:29 -0700 |
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| committer | Joey <joseph.e.gonzalez@gmail.com> | 2013-10-29 21:06:29 -0700 |
| commit | 1a20ba9b70f3a920c46c637c6dacda2efedf3cd0 (patch) | |
| tree | 868396d02338b66d5e61fa131beee995fde2ce83 /README.md | |
| parent | 41b312212094b2accd650813dd45e1767b5465fe (diff) | |
| download | spark-1a20ba9b70f3a920c46c637c6dacda2efedf3cd0.tar.gz spark-1a20ba9b70f3a920c46c637c6dacda2efedf3cd0.tar.bz2 spark-1a20ba9b70f3a920c46c637c6dacda2efedf3cd0.zip | |
Updating images so they render correctly.
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 8 |
1 files changed, 7 insertions, 1 deletions
@@ -26,7 +26,10 @@ execute graph algorithms. Unfortunately, these systems do not address the challenges of graph construction and transformation and provide limited fault-tolerance and support for interactive analysis. - +<p align="center"> + <img src="https://raw.github.com/jegonzal/graphx/Documentation/docs/img/data_parallel_vs_graph_parallel.png" /> +</p> + ## Solution @@ -43,6 +46,9 @@ the PowerGraph and Pregel abstractions in less than 20 lines of code. Finally, by exploiting the Scala foundation of Spark, we enable users to interactively load, transform, and compute on massive graphs. +<p align="center"> + <img src="https://raw.github.com/jegonzal/graphx/Documentation/docs/img/tables_and_graphs.png" /> +</p> ## Online Documentation |