Paper Details

Big Data is a collection of data that is large in volume, mostly from the various data sources. These data sets are too large to process by using traditional data processing software. But this large quantity of data gives the solution to business problems that you may not have been able to handle before. The applications of big data are cyber security, pharmaceutical drug evaluation, scientific research, weather forecasting, tax compliance, etc. Big data management is the collection, administration and governance of very large volumes of both structured and unstructured data. The importance of data comes from the point of view that can be discovered by manipulating it to get the prospect that hides within. The aim of big data management is to guarantee a high level of data quality and accessibility for business intelligence and big data analytics software. Big data management involves various processes such monitoring and ensuring the availability of all big data resources through a centralized interface, performing database maintenance, implementing and monitoring big data analytics, data quality, focusing the security of big data repositories and control access, ensuring that data are collected and stored from various resources. By using Big Data Management Tools predictions and analysis of business are becoming more accurate and interesting. This paper brings up the focus on Big Data Management. First introduction of big data, Big Data Storage, Big Data Technologies, Best Policy to Big Data Management, Big Data Management (Distributed Processing Framework Hadoop and Spark, Cloud Object Storage Services, Stream Processing Engines, Cluster Management Software, NoSQL Databases, Data Lake) along with some popular tools and the benefits of using Big Data Management.

Big Data, Storage, Big Data Management Tools, Policies, Benefits