ANALYTICS TOOLS FOR BIG DATA AND ITS RELATED TECHNOLOGIES
Keywords:
Hadoop, Map Reduce, Advanced Analytics Tools, Hive, SAPAbstract
Extensive data analysis is a widely encompassing field of great interest to both academic and industrial sectors. The area of big data analytics has garnered significant attention from academic and industry circles due to its focus on extracting information, wisdom and knowledge from large data sets. Cloud computing and Big Data are two key developments reshaping the market for new analytical tools. The utilization of cloud delivery models for significant data analysis capabilities has the potential to facilitate adoption across various industries. In addition to cost savings, this approach can simplify the extraction of valuable insights, thereby providing organizations with a competitive edge. Several businesses offer online big data analysis tools, but several are more popular: BDA, H-based, SAP, Amazon BDA Platform, Huge Data Cloudera solving, etc. These industries utilize various tools to analyze vast amounts of data & offer user-friendly interfaces for data analysis. In this paper, we take a look at the 5Vs of big data, what constitutes a successful analysis, the frameworks and tools available to analysts, the many kinds of based on the cloud big data analytics solutions available to different companies, and how Hadoop and MapReduce function.
References
https://en.wikipedia.org/wiki/Big_data
http://www.ibmbigdatahub.com/blog/why-only- one-5-vs-big-data-really-matters.
http://www.oracle.com/technetwork/database/options/advanced-analytics/ds-oracle-advanced- analytics-1510025.pdf.
http://www-03.ibm.com/software/products/en/ Infosphere-biginsights-standard-ed
https://cwiki.apache.org/confluence/display/Hive/Hiv eWebInterface
http://fm.sap.com/data/UPLOAD/files/Big%20Da ta%20Analytics%20Guide.pdf.
https://aws.amazon.com/training/course- descriptions/bigdata/.
https://www.hpe.com/in/en/solutions/big- data.html
http://www.ibmbigdatahub.com/blog/why-only- one-5-vs-big-data-really-matters.
Tom White, Hadoop; The Definitive Guide, 3rd ed., Mike Loukides and Meghan Blanchette, Eds.: O'Reilly, 2012.
Jeffrey Dean and Sanjay Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," in OSDI'04: Sixth Symposium on Operating System Design and Implementation, 2004.
Aditya B. Patel, Manashvi Birla, and Ushma Nair, "Addressing Big Data Problem Using Hadoop and Map Reduce," in 2012 Nirma University, International Conference on Engineering (NUiCONE), 2012, pp. 6-8.
Hadoop Wiki. [Online]. http://wiki.apache.org/hadoop