 "Data Tools" is a vast domain, yet there are a fairly small number of
foundational requirements when developing with or managing data-centric
systems. A developer is interested in an environment that is easy to
configure, one in which the challenges of application development are
due to the problem domain, not the complexity of the tools employed.
Data management, whether by a developer working on an application,
or an administrator maintaining or monitoring a production system,
should also provide a consistent, highly usable environment that
works well with associated technologies. Such an environment starts with key frameworks designed both for
use and extensibility. Examples include location and management of
data source drivers, and configurations for access to particular
data source instances. Once a connection is successfully made, the
next task often is to explore the data source, making changes as
required. Some of these operations might be carried out by GUI
actions, others directly through commands. For example, users -
both developers and administrators - typically will create, edit,
and test SQL for these commands. Assistance in editing SQL through
code completion, formatting, and dialect specialization, greatly
enhances productivity. Further, the ability to execute or debug
commands, both SQL and stored procedures, rounds out the rapid
development process that Eclipse supports so well. Finally,
bridging chasms, whether between relational, object, or other
structures, presents challenges that data management tooling
should address. This page is providing the Ubuntu/Debian package for Eclipse Data Tools Platform. Official Eclipse Data Tools website: http://www.eclipse.org/datatools/. |
