Preparing pitch for Spark

What is needed to learn Apache Spark 

Apache Spark is open source technoly for inmemory data analytics and complex data pipelines in a Datalake or a datawarehouse.

It is like IPL of cricket and Hadoop is like Oneday match and RDBMS is like test match .

Every format has its own value proposition and its own audience.

Similarly Hadoop is good at fast processing at cheaper cost and Spark is fastest but bit costly.

Coming to what it takes to learn Spark is simply just these two things will be enough to kickstart career into most booming part of Bigdata world 

First one is good understanding on Map Reduce and HDFS

second is good understanding on how functional programming works

It is very easy to say any body can do Spark but doing has its own complications.

Similar to good one day player is not always a good T20 player .

Hadoop developers need to concentrate on Functional aspects and memory aspects of Spark more to be a successful Sparker.

next we will be peep into Functional programming concepts .....how can we relate to our highschool maths........

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