• Mr. S. HENDRY LEO KANICKAM
• Mr. M. MUKILAN

Abstract : In recent years, huge amounts stored in particulate server based on of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. They providing Server sector has been confronted by the need to manage the big data being produced by various sources and companies , which are well known for producing high volumes of heterogeneous data and homogeneous server data. Various big-data analytics tools and techniques have been developed for handling these massive amounts of data used to different kind frame models , in the Data Center . In this survey, we discuss the impact of big data to stored in server how will be worked to the framework, and various tools available in the Hadoop ecosystem for handling it. We also explore the conceptual architecture of big data analytics for Data Sciences which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system.

Big Data ,models 3Vs,Hadoop System, Data nodes

"BIG DATA ANALYSIS FOR FRAMEWORK COLLECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.36-41, January-2019, Available :http://www.jetir.org/papers/JETIR1901705.pdf

"BIG DATA ANALYSIS FOR FRAMEWORK COLLECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp36-41, January-2019, Available at : http://www.jetir.org/papers/JETIR1901705.pdf