Thanks Abhishek. Cheers! Manoj.
On Tue, Jul 31, 2012 at 10:43 PM, Abhishek Shivkumar < abhisheksgum...@gmail.com> wrote: > Hi Manoj, > > Pig is basically a data-flow language used to perform high-level simple > operations such as summarizations and basic analysis on top of the data > residing on HDFS. It uses a language called Pig-Latin. It gives your HDFS a > datawarehouse kind of perspective, and lets you do a data analysis job by > writing simple scripts. > > Pig Latin is easy to learn and one necessarily doesn't need to know > mapreduce to write and run Pig Latin. It is important to note that once you > write the Pig scripts, when they are run, internally they generate > mapreduce jobs to run the scripts. So, eventually, you are using mapreduce > internally. > > On the other hand, you use mapreduce to perform a job that is not as > simple to be written using a script in pig Latin. for this, you will need > to design the mapreduce job by deciding how many reducers do you need, > designing the combiner, partitioner and grouping class for various > performance issues. > > Of course it is easy to run jobs using pig scripts, but it may not be > possible to write everything in Pig. > > Hope it is fine. > > Thank you! > > With Regards, > Abhishek S > > > > On Tue, Jul 31, 2012 at 10:37 PM, Manoj Babu <manoj...@gmail.com> wrote: > >> Hi, >> >> It would be great if any of you compare Pig and Hadoop map reduce. When >> we should go for Hadoop or Pig? >> I love to program using java but peoples were arguing that can be >> easily achieved in ping with very few lines of code even my boss too... >> I am a fresh developer for Hadoop. Could kindly provide the pros and >> cons? >> >> Cheers! >> Manoj. >> >> >> >
