Persistence EdgeXtend for Java 3.01

Persistence EdgeXtend for Java 3.01
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Technology trends such as grid computing,
service oriented architectures (SOAs), and data
integration drastically increase the demands on da
access infrastructure. Persistence. EdgeXtend. for
Java provides cost effective, scalable, and high
performance object oriented access to relational data
for custom applications. With dozens of large scale
deployments at global Fortune 500 companies,
Persistence products are proven in the most demanding
enterprise systems.

Efficient data access is a significant conce
throughout the project lifecycle:

Development Phase: An R.B. Webber study concluded that
coding and configuring object relational (O R) data
access typically accounts for 30 to 40 of total
project effort.

Tuning Phase: Performance and data integrity issues
often do not surface until testing. A recent survey of
J2EE users found that 57 of performance and
availability problems came from inefficiencies in the
data access layer.

Deployment Phase: The same survey noted that during
initial deployment, only 42 of applications perfo
as planned. According to a 2004 Forrester Research
survey, 66 of performance problems are first
identified by irate users calling the IT help desk.

Whether you are developing with the popular BEA.
WebLogic. or IBM. WebSphere. application servers or
are exposing persistent data to a pure Java
application, EdgeXtend for Java meets data access
requirements at each stage of the project lifecycle,
ensuring a fast, free flow of data. EdgeXtend.s
tightly integrated features shorten development
schedules, simplify performance tuning, and ensure
enterprise wide deployment scalability and high
availability.

When you use EdgeXtend.s development tools, you bu
runtime performance and scalability into your
application. You gain the flexibility to seamlessly
access sophisticated tuning and deployment features
without rearchitecting or additional coding. Beyond
the initial cost savings, EdgeXtend.s data services
platform reduces the risk of project failure due to
schedule overruns, poor performance, or application
failure.

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