Big Data are becoming a new technology focus both in
science and in industry and motivate technology shift to data
centric architecture and operational models. There is a vital need
to define the basic information/semantic models, architecture
components and operational models that together comprise a so-
called Big Data Ecosystem. This paper discusses a nature of Big
Data that may originate from different scientific, industry and
social activity domains and proposes improved Big Data definition
that includes the following parts: Big Data properties ( also called
Big Data 5V: Volume, Velocity, Variety, Value and Veracity), data
models and structures, data analytics, infrastructure and security.
The paper discusses paradigm change from traditional host or
service based to data centric architecture and operational models
in Big Data. The Big Data Architecture Framework (BDAF) is
proposed to address all aspects of the Big Data Ecosystem and
includes the following components: Big Data Infrastructure, Big
Data Analytics, Data structures and models, Big Data Lifecycle
Management, Big Data Security. The paper analyses requirements
to and provides suggestions how the mentioned above components
can address the main Big Data challenges. The presented work
intends to provide a consolidated view of the Big Data phenomena
and related challenges to modern technologies, and initiate wide
discussion.