Summary
In summary, Pregel is a generic and simplified interface for writing custom iterative, and parallel algorithms on large graphs. In this chapter, we have seen how to implement different iterative graph processing using this simple abstraction. In the next chapter, we will see how to use Spark's MLlib and GraphX to solve some machine learning problems with graph data.
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