WHERE NEW DATABASE TECHNOLOGIES FIT INTO
THE ENTERPRISE
IT OPERATIONAL DATA (LOGS,SYSTEMS MONITORING):
It professionals need databases they can
quickly spin up while they are in the midst
of writing,testing or deploying code.
SPECIAL PROJECTS:
the open source hadoop framework provides a
cost-effective test bed for experimentation whith
datasets,enabling greater innovation with little additional
cost.
Many projects taking place around
enterprises are typically led by
non-technical business managers and
professionals,and thus need to be as
simple and intuitive to use as possible.
REAL -TIME OR SUB- SECOND PROCESSING AND RESPONSE REQUIREMENTS
For low-latency requirequirements,such as sensitive
financial applications,enterprises are turning to in-memory
databases,in which data is sent to random access memory
spaces of pcs or servers.
UNSTRUCTURED DATA ANALYTICS:
One of the hallmarks of big data is the
amount of unstructured,user-and
machine-generated.
DEVELOPER RESOURCES (CONFIGURATION INFORMATION)
As with it operational data,it professionals
need databases they can quickly call up and
deploy.
ECOMMERCE APPLICATIONS
Nosql key-value store databases,in
conjunction with back end relational
databases for payment transaction
processing,are an effective comvination
PERIPHERAL-BRANCH OFFICE SUPPORT
Branch offices typically require small footprint
databases that synch up whith a central data
environment,or,conversely,access via the network to
a central database.
EMBEDDED DEVICES AND APPLICATIONS
Remote devices such as kiosks,sensors, or
point of sale terminals require databases that
can run remotely, require little
maintenance,are highly secure,and are
untethered to a central data environment.