Abstract
Big data technologies have shown significant benefits in many sectors of society, as diverse
as manufacturing, business management and health science. This report looks at the state of
the art of big data technologies and their application in bioeconomy, i.e. the parts of the
economy that use renewable biological resources from land and sea – such as crops, forests,
fish, animals and micro-organisms – to produce food, materials and energy. The DataBio
project in particular, addresses agriculture, forestry and fishery, where it aims to advance the
use of big data technologies by implementing several pilot demonstrations.
The purpose of the document is to provide an overview for the general public and non-expert
readers of recent developments in big data and highlight opportunities of how it could serve
the bioeconomy sector in the near future. The document is structured as follows:
Chapter 3 of the document includes an overview of general big data challenges and
opportunities. Chapter 3.1 introduces the concept of big data in general and chapter 3.2
introduces the use of big data in the bioeconomy sector. Big data management, analysis and
visualisation are discussed in chapters 3.3, 3.4 and 3.5 respectively. Finally, chapter 3.6
introduces big data frameworks and infrastructures.
Chapters 4, 5 and 6 go into more detail covering big data in agriculture, forestry and fishery
from the perspectives of the DataBio pilots.
Due to the different backgrounds and target applications in each pilot application, these
chapters present the state of the art from slightly different perspectives.
Chapter 7 concludes with an outlook to future opportunities in big data technologies.
as manufacturing, business management and health science. This report looks at the state of
the art of big data technologies and their application in bioeconomy, i.e. the parts of the
economy that use renewable biological resources from land and sea – such as crops, forests,
fish, animals and micro-organisms – to produce food, materials and energy. The DataBio
project in particular, addresses agriculture, forestry and fishery, where it aims to advance the
use of big data technologies by implementing several pilot demonstrations.
The purpose of the document is to provide an overview for the general public and non-expert
readers of recent developments in big data and highlight opportunities of how it could serve
the bioeconomy sector in the near future. The document is structured as follows:
Chapter 3 of the document includes an overview of general big data challenges and
opportunities. Chapter 3.1 introduces the concept of big data in general and chapter 3.2
introduces the use of big data in the bioeconomy sector. Big data management, analysis and
visualisation are discussed in chapters 3.3, 3.4 and 3.5 respectively. Finally, chapter 3.6
introduces big data frameworks and infrastructures.
Chapters 4, 5 and 6 go into more detail covering big data in agriculture, forestry and fishery
from the perspectives of the DataBio pilots.
Due to the different backgrounds and target applications in each pilot application, these
chapters present the state of the art from slightly different perspectives.
Chapter 7 concludes with an outlook to future opportunities in big data technologies.