The success of Big Data relies fundamentally on the ability of a person (the data scientist) to
make sense and generate insights from this wealth of data. The process of generating …

This paper presents the results of an ethnographic study focused on how data science
projects were conducted within a global media advertising company. Observations, via …

The potential to extract actionable insights from big data has gained increased attention of
researchers in academia as well as several industrial sectors. The field has become …

Big Data is characterized by the five V's-of Volume, Velocity, Variety, Veracity and Value.
Research on Big Data, that is, the practice of gaining insights from it, challenges the …

Big Data Analysis is becoming a widespread practice on many software development
projects, and statisticians and data analysts are working alongside developers, testers and …

Exploration over large datasets is a key first step in data analysis, as users may be
unfamiliar with the underlying database schema and unable to construct precise queries that …

SAS® Visual Analytics Explorer is an advanced data visualization and exploratory data
analysis application that is a component of the SAS Visual Analytics solution. It excels at …

Big data analytic (BDA) systems leverage data distribution and parallel processing across a
cluster of resources. This introduces a number of new challenges specifically for analytics …

Big Data constitutes an opportunity for companies to empower their analysis. However, at
the moment there is no standard way for approaching Big Data projects. This, coupled with …

The volume of data that is generated each day is rising rapidly. There is a need to analyze
this data efficiently and produce results quickly. Data science offers a formal methodology for …