Shivani is based out of Bangalore & has studied CS-Computer Science, ME MTech-Master of Engineering or Technology from Year 2015-2017 in Other, Other.
Shivani Singh is Skilled in MySql, Hadoop, Core Java and other talents.
About
This is shivani singh , i am from u.p , so if i am talking about about my objectives than i want to become a good engineer who have skills in all filled like if company have given me some work related to java and other work on python on other day than i can able to move on and take it as a challenge to complete within that day only
Career Aim
This is shivani singh , i am from u.p , so if i am talking about about my objectives than i want to become a good engineer who have skills in all filled like if company have given me some work related to java and other work on python on other day than i can able to move on and take it as a challenge to complete within that day only
I am working as a technical trainee in BiGData terminologies and hadoop, experienced and hands on in hive hbase sqoop pig flume and learning spark and scala
This project is aimed in generating an effective scheme for Data Visualization in different Pictorial Graphs through Big Data by using Parallel R and finding limitation of R where R can fail to handle dataset so for that I am running twitter datset of 1 crore and I found that R can able to handle 100000 row at a time so I am deciding to run dataset in parallel by dividing into chunks in parallel R.So i am checking parallelisation of R that how r can handle lot of big data for this i have written code in parallel R by using PARALLEL R libraries like snowby using dopar and write code for serial by using do after all this I found that by running both , parallel code shows less time as compared to serial in parallel R and i am running all this data in cores of cpu, so in serial only 1 cpu is running and in parallel 2 cpu are simultaneous working so it takes less time.after getting all these result i am deciding to integrate RHADOOP, So now my work is to run that dataset in rhadoop