1.
ELT
architecture provides high performance.
–
ELT faster than ETL
2.
Active
integration enables real-time data warehousing and operational
data
hubs.
–
Changed data capture technology for real-time data warehousing
–
Data services provided to the Oracle SOA Suite
3.
Declarative
design improves developer productivity.
–
Business users specify what they want; ODI generates the flows
and
code.
4.
Knowledge
modules provide flexibility and extensibility.
–
Predefined, reusable code templates with built-in connectivity
to
all major databases
1.
ODI’s
ELT architecture leverages disparate RDBMS engines to process and transform the data.
This approach optimizes performance and scalability and lowers overall solution
costs.
2.
ODI
turns the promise of active integration into reality by providing all key
components required
to
enable real-time data warehousing and operational data hubs. ODI combines three
styles
of data integration: data based, event based, and service based. ODI unifies silos
of
integration by transforming large volumes of data in batch, by processing
events in real
time through its advanced Changed Data Capture, and by providing data services to
the
Oracle SOA Suite.
3.
Oracle
Data Integrator shortens implementation times with its declarative design approach.
Designers specify what they want to accomplish with their data, and then the tool
generates
the details of how to perform the task. With ODI, the business user or the developer
specifies
the rules to apply to the integration processes. The tool automatically
generates
data flows and administers the correct instructions for the various
source
and target systems. With declarative design, the number and complexity of
steps
is greatly reduced, which in turn shortens implementation times. Automatic code
generation
reduces
the learning curve for integration developers and streamlines non-IT professionals
to
the definition of integration processes and data formats.
4.
Knowledge
modules are at the core of the ODI architecture. They make all ODI
processes
modular,
flexible, and extensible. Knowledge modules implement the actual data
flows
and define the templates for generating code across the multiple systems involved
in
each process. ODI provides a comprehensive library of knowledge modules, which
can
be tailored to implement existing best practices (for example, for highest performance,
for adhering to corporate standards, or for specific vertical know-how). By helping
companies
capture and reuse technical expertise and best practices, ODI’s knowledge
module
framework reduces the cost of ownership. It also enables metadata-driven
extensibility
of product functionality to meet the most demanding data integration challenges.
ODI streamlines
the high-performance movement and transformation of data between heterogeneous
systems
in batch, real-time, synchronous, and asynchronous modes. It dramatically
enhances
user productivity with an innovative, modularized design approach and built-in
connectivity
to all major databases, data warehouse appliances, analytic applications, and
SOA
suites
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