A Spark Implementation on Hadoop System for Big Data Analytics on Acquantic dataset

Document Type : Primary Research paper


Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology


Our inability to handle huge quantities of data in a timely manner is one of the
most important problems in the modern big data environment. In this article, using drive
HQ cloud to compare and contrast 2 supervised multiplying systems based on service
cluster implementations. On the other hand, Spark offers a more reliable data
management framework as well as the ability to address issues including node loss and
data duplication. Among other things, aquatic scientists research the flow and chemistry of
water, aquatic species, aquatic ecosystems, the transport of items into and out of aquatic
environments, and human usage of water. Aquatic scientists research both historical and
contemporary processes, and the water bodies they study may be as large as whole oceans
or as small as regions measured in millimetres.