Page 299 - Special Topic Session (STS) - Volume 4

STS637 Reem I. M. E.
2015). This definition highlights the fact that data revolution should increase
the use and impact of data on results.

Types of Data:
1-Structured data: - Regular databases, tables with more reliable relationships,
get accurate information (statistical tables).
2- Semi Structured data: - Partial data is structured and another is unstructured
3- Unstructured data: - We cannot deal with it by using normal databases and
thus become within the big data (unstructured data represent 80% of the data
in the world).

Recently, there has been an urgent need for the use of non-traditional data
sources, especially big data that has not yet been used to produce official
statistics or to extract information related to various statistics such as health,
economics, labor, transport, migration and the environment.
The availability of big data is a unique opportunity to support the
International Sustainable Development Agenda 2030, as never before.
Enhanced data production and use in policy development and monitoring are
increasingly recognized as an essential tool for development.
The MDG monitoring experience has clearly demonstrated that effective
use of data can help promote development efforts, implementing programs,
monitoring performance and improving responsiveness to the increasing
demand for data. Therefore, the Sustainable development requires a data
revolution to improve the availability, quality, timeliness and classification of
data to support the implementation of the sustainable development plan at
all levels in all regions. Also the localization of the sustainable development
goals on the basis of local priorities will be key to making them concrete and
relevant.
Big data sources should be effectively used to enrich the sources of official
statistics so that data needs can be met in new and timely development areas,
and detailed spatial data can be produced and made available to decision
makers. This show that the innovative power and transformation of
information technology can be utilized from data collection through mobile
phones to data dissemination through advanced data visualization tools, such
as visualizing data on maps.
Big data are data sources that can be –generally– described as: “high
volume, velocity and variety of data that demand cost-effective, innovative
forms of processing for enhanced insight and decision making.”
Big data characteristics:
1. Size: The number of terabytes of data obtained daily.
2. Diversity: The diversity of data between structured, unstructured and semi-
structured and diverse sources of different sites and different data, whether
images or videos or emails and others.

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