Abstract
This position paper is based on a major cooperative research and development proposal to form a Big Data Research, Analytics, and Information Network (BRAIN). Challenges presented by Big Data research are introduced and several projects are sketched in four important Big Data research theme areas, the solutions of which will further decision making in these areas of investigation. The four themes are large-scale data analytics and cloud computing, computational biology, health informatics, and interactive content analytics. These theme areas are certainly not inclusive, rather indicative of the wide variety to which Big Data now occupies decision analytics. The importance of training highly qualified personnel (HQP), knowledge mobilization and novelty are discussed.
Highlights
What is Big Data? Big data is a trendy marketing term, similar to cloud and web 2.0
Forrester Research coined the “Four Vs” as the main reasons a data set may not be a good fit for a traditional relational database
Big data solutions are often more than a few terabytes
Summary
L earn what big data is, how it is used inside an Oracle Big Data Appliance and how you can use it effectively. The moral of this story is simple: analyzing more data — either additional data sets or larger samples of the same data set — will typically yield better results than analyzing the same data with better tools. Instead of using small focus groups to decide on a change in website design, data-driven companies run several versions of the website for a while and collect detailed metrics on the way users interact with the site: how long they stay, how many products they look at, how likely they are to eventually buy a product and so on These metrics are used to compare the various website designs and choose the one that brings the most value to the business
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