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| -rw-r--r-- | chapter/8/big-data.md | 2 |
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diff --git a/chapter/8/big-data.md b/chapter/8/big-data.md index 56bb9e2..4ca4529 100644 --- a/chapter/8/big-data.md +++ b/chapter/8/big-data.md @@ -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 |
