Data
Architecture is the core of any business
that defines how the data or information
is stored, managed, distributed, used,
transformed and governed in a predefined
universe, where the business universe
could include entities within and outside
the organization. We provide world class
engineers to design and implement Data
Architectures for small to large scale
environments catering to simple to very
complex needs..
High Performance Data Architecture
With the advent of high number crunching
and fast response times, parallel architectures
have become an integral part of high
performance solutions. Traditionally
there are two types of architectures
MPP (Massively Parallel Processing)
and SMP (Symmetric Multiprocessing).
SMP has some limitations tied to bandwidth
of the memory bus, so increasing number
of processors after a certain number
does not add to any gain. MPP architecture
is again share nothing and has its own
set of advantages and disadvantages;
there are hybrid architectures between
SMP and MPP, where they use traditional
MPP architecture but share with an exception
of sharing memory with high performance
cache.
Achieving
Unlimited Scalability
When it comes to managing large data warehouses, scalability is always a prime concern. Leading database like Oracle, UDB, Teradata and other have upper limits. Scaling beyond 50 Terabytes, needs to be architected in right manner to achieve the level of performance and scalability. There are several techniques to achieve theoretical sense of unlimited scalability; one of them is to create a database structures that are skeletal in nature. These databases hold reference to databases and data record, sort of pointers to other database and data records, then use co-locate them using intelligent partitioning algorithms for fast retrieval, thus getting the flexibility to grow without compromise on the performance.
Real-time
Data Mining and Dynamic Segmentation
Traditionally we have been using static
models that are scored on a universe
and then the scores are used for the
purpose of segmentation. There are newer
techniques to conduct more real-time
segmentation based on the real-time
need. The technique uses a dynamic array
of models instead of static model based
on the variables selected.( e.g. like
a self guided missile which tunes itself
based on the additional information
it collects as it gets closer to the
target, thus increasing the probability
to hit the target accurately, this same
concept can be applied to business applications,
that will fine tune and dynamically
change segmentation models based on
the changes it recognizes to better
target the customer.)
We provide highly experience and expert
level resources for development, providing
data integration solutions, supporting
operations and maintenance. Based on
the requirements we can provide onshore
and offshore resources through our offshore
alliance partners. We specialize in
the following database technologies:
