Data has been described as the new oil due to its potential to generate valuable insights and knowledge through analysis. While data analysis has a long history, the volume, variety, and velocity of big data makes it difficult to process and derive conclusions from. Data science is emerging as a new field that combines computer science, statistics, machine learning, and human-computer interaction to collect, clean, integrate, analyze and visualize big data with the ultimate goals of creating new data products and services and training data scientists. The talk will introduce data science and big data technologies, illustrate opportunities and risks through examples, and discuss challenges of combining high-performance computing and big data analytics.

1. Prof. Patrick Valduriez
INRIA
Data has been quoted as the new oil, to reflect that big data can be turned into high-
value information and new knowledge. Although data analysis has been around for a
while, starting with statistics and evolving lately into exploratory data analysis, data
mining and business intelligence, the new dimensions of big data (volume, variety,
velocity, etc.) make it very hard to process and analyze data, and derive good
conclusions. To address this grand challenge, data science is emerging as a new
science that combines computer science, statistics and machine learning,
visualization and human-computer interactions to collect, clean, integrate, analyze
and visualize big data. The ultimate goal is to create new data products and services,
as well as training legions of data scientists. In this talk, I will introduce data science,
including big data and cloud technologies. I will illustrate the main opportunities and
risks, in particular by telling my favorite stories about the good, the bad and the ugly.
Finally, I will discuss the new challenges in combining HPC and big data analytics.
26 de julho
11 horasquarta-feira
H324-B
Seminários do PESC
http://www.cos.ufrj.br/seminarios
Data Science: opportunities and risks