  Big Data technology is described. Big data is a popular term used to describe
the exponential growth and availability of data, both structured and
unstructured. There is constructed dataspace architecture. Dataspace has
focused solely - and passionately - on providing unparalleled expertise in
business intelligence and data warehousing strategy and implementation.
Dataspaces are an abstraction in data management that aims to overcome some of
the problems encountered in data integration system. In our case it is block
vector for heterogeneous data representation. Traditionally, data integration
and data exchange systems have aimed to offer many of the purported services of
dataspace systems. Dataspaces can be viewed as a next step in the evolution of
data integration architectures, but are distinct from current data integration
systems in the following way. Data integration systems require semantic
integration before any services can be provided. Hence, although there is not a
single schema to which all the data conforms and the data resides in a
multitude of host systems, the data integration system knows the precise
relationships between the terms used in each schema. As a result, significant
up-front effort is required in order to set up a data integration system. For
realization of data integration from different sources we used SQL Server
Integration Services, SSIS. For developing the portal as an architectural
pattern there is used pattern Model-View-Controller (MVC). There is specifics
debug operation data space as a complex system. The query translator in
Backus/Naur Form is give.
