Big Data - Challenges & Opportunities

Explore the challenges and opportunities presented by Big Data in this 50-minute conference talk from GOTO Aarhus 2012. Delve into the potential social impact of research and development in the field of Big Data, beyond its commercial applications. Examine key aspects such as data volume, availability, privacy, and management. Learn about promising sectors, talent shortages, and technical issues in Big Data. Discover the importance of data science, integration, and underlying architectures. Investigate batch processing, semi-structured and unstructured data, as well as open source benchmarks. Consider the "common good challenge" and how Big Data can be leveraged for societal benefit. Gain insights from Prof. Dott. Ing. Roberto V. Zicari of Goethe University Frankfurt on balancing corporate interests with social impact in the realm of Big Data.

Introduction
Big Data
Big Data is a Big Thing
What is Big Data
What is Big Data supposed to do
How to measure Big Data
Identifying promising sectors
Lack of talent
Volume
Data Availability
Privacy
Data Dogmatism
Data Discovery
Data Management
Data Science
Integration
Underlying Architecture
Batch Processing
SemiStructure Unstructured
pros and cons
projects
technical issues
open source benchmarks
the common good challenge