is unstructured in its natural form. In its rudimentary form it often
defies clarity and exhibits a tendency to become
architecture and engineering enable to realize the full potential of
giving it the right form and structure. Data within control can
delivery the value it is intended for. Data in the correct form and
relevance transforms to information for its consumers.
While data is ubiquitous, we focus on architecting it in two main
Data in the Network is
time-sensitive and often resource-constrained. For instance delays can
mean dropped calls and jitter in the video. Exceeding Bandwidth
available can result long-waits. With the evolution of mobile networks
towards 4G, becoming data-plane centric and all-IP, maintaining a
control on data itself, its delivery and latency is key to its
engineering. The Apps on the smartphones have unleashed a data tsunami
in the network. But that is only the beginning. Smart-Grid,
machine-to-machine and the next step to connected devices shall unfold
more challenges. Datafiniti can help to architect this exciting network
evolution by the right performance and traffic engineering for data.
Optimizing the protocols between the network elements, applications and
smart-devices exchanging the data. Devising effective solutions and
strategy for the co-existence of networks in this new dimension of
convergence. Data offload through small cells or Wifi for example.
Data in the Enterprise
faces a different set of challenges. Relative to the network,
enterprise data is
more transactional and relies heavily on persistent volumes of data.
While a good database design provides a robust foundation, Data
architecture focuses on two aspects. The first is Change. Enterprises
are in a constant state of evolution or transformation. New Business
needs, supporting new network paradigms and technologies place constant
pressures on the network to meet these requirements. Secondly, the
interworking between a plethora of systems and applications. Datafiniti
addresses this dynamic nature of the enterprise by architecting the
data. Solving challenges of integrity, resilience and sustenance.
Enabling Service-Orientation and Layering. Building Architecture to
scale by handling large data.
in the network or in the enterprise, we rely heavily on Data
Visualization. We build the right modeling techniques to create
end-to-end and holistic views of transient and persistent data and
interactions within various systems.