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authormsabhi <abhi.is2006@gmail.com>2016-12-04 09:56:22 -0500
committerGitHub <noreply@github.com>2016-12-04 09:56:22 -0500
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@@ -27,7 +27,7 @@ This chapter is organized in
- Limitations, iteration, performance
- Spark (all in memory)
what is Spark? why is Spark so powerful - RDD and API? What is a RDD and why is it so efficient? properties of a RDD?
- why is RDD better than DSM? What are the transformations and actions available in Spark ? what are the limitations of Spark ?
+ why is RDD better than DSM? What are the transformations and actions available in Spark ? Explain with PageRank example why Spark is better than map reduce. what are the limitations of Spark ?
- Pregel
Overview of Pregel. Its implementation and working. its limitations. Do not stress more since we have a better model GraphX to explain a lot.
- Performance