Big Data Analytics
Abstract: With advancement of technologies and services, data with high velocity, variety and volume is produced which cannot be handled by traditional architectures, algorithms or databases. So, there is a need of new architecture that finds the hidden threads and trends from different structured or unstructured sources and that technique is called BIG DATA. This Review paper presents different Methodologies to implement Big Data that is HPCC (older one) and HADOOP. The whole process of deployment can be divided into 5 phases- Data Distillation, Model Deployment, Validation and Deployment, Real time Scoring, Model Refresh. Along with that it concentrates on comparing HPCC, HADOOP and their components also.
Keywords: Big data, Hadoop, HPCC, Map reduce, HDFS
How to Cite?: Leeza Sharma, Ankita Gupta, "Big Data Analytics", Volume 6 Issue 1, January 2017, International Journal of Science and Research (IJSR), Pages: 932-935, https://www.ijsr.net/getabstract.php?paperid=ART20164148, DOI: https://dx.doi.org/10.21275/ART20164148