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Big Data Evaluation Guide
Report by: Andrew Snodgrass
Posted: January 2017
The Big Data landscape includes on-premises and hosted solutions that capture, store, and analyze data from a variety of sources to help organizations make better decisions
The Big Data landscape includes on-premises and hosted solutions that capture, store, and analyze data from a variety of sources to help organizations make better decisions
Data management and storage are the foundations for successfully processing Big Data workloads and together are likely the most expensive part of any Big Data solution
The offerings that receive and process or receive and store data, in a process known as data ingestion, are an important part of the Big Data landscape
Data analysis services combined with advanced offerings such as machine learning help achieve the main purposes of capturing Big Data—finding insights to automate decision making
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