Centerprise is designed to help meet in a number of data integration, migration,
and data quality challenges. These challenges include B2B data exchange, data
migration, application integration, and data warehousing.
Data Exchange with Customers and Partners
B2B data exchange takes place via flat files, XML files, services, EDI, and
other means. Companies receive data from a variety of business partners,
government agencies, third party data aggregators, and others. Data formats vary
between partners and, at times, between different transfers with the same
partner. It is not uncommon to see large teams of IT and business resources
dedicated to transforming, validating, and cleansing incoming data from various
sources. These teams commonly use a medley of homegrown systems, ad-hoc
programs, and off-the-shelf programs such as Excel, Access, and others to
perform these tasks. Adding a new data source requires significant development
work and impedes the business’s ability to integrate new customers and partners.
Moreover, regulatory and compliance issues requiring improved auditing,
tracking, and security capabilities means that this approach is no longer
sustainable.
The Centerprise 5 feature set reflects Astera’s deep experience in data
validation, cleansing and transformation. With Centerprise, data conversion
specialists now have tools to quickly bring in new data formats, deal with
inconsistencies such as data format differences and data quality errors using
features specifically designed for these situations. Integrated data validation
and profiling features help highlight and resolve data quality issues.
Data Migration
Whether you are migrating data as part of a merger integration process or moving
to a new in-house developed or package application as part of a legacy
modernization effort, data migration is a time-consuming, risky, and resource
intensive process. Projects often bog down or fail outright because of data
migration issues.
A data migration project requires developing a deep insight into structure and
quality of data in source systems, understanding differences between source and
target systems, and deploying the appropriate toolset and human resources. Due
to typically large data volumes, scalability and performance are essential
requirements for any data migration platform.
Centerprise’s high-performance, parallel processing engine ensures an efficient
migration process by providing the speed and scalability needed for very high
volume data migrations while the integrated validation and profiling features
provide clear visibility into all aspects of data migration.
Application Data Integration
One of the most common challenges in any IT organization is integration of
disparate on-premise and SaaS applications. As these applications evolve, the
integration code must be modified to support the evolving business needs.
Development and maintenance of these integration points consume a significant
portion of IT budget.
Centerprise brings a new level of efficiency and visibility into the
application integration process. Centerprise’s high-performance engine
facilitates faster data transfers between applications. Its visual approach to
managing the data integration process brings about major productivity
improvements in developing and maintaining integration jobs.
Centerprise’s strong integration with version control systems such as
Microsoft Team Foundation ensures that teams spanning the globe and time zones
can collaborate on integration projects.
The upcoming features for real-time data integration will further enhance this
capability and support near real time and real time integration where business
needs so demand.
Data Warehousing
Data warehouses and data marts provide critical intelligence needed for timely
and accurate business decisions. High quality ETL functionality is vital to the
success of any data warehousing project. Ability to pull data from a variety of
application silos, cleanse, transform, and aggregate this data in a timely
fashion establishes your data mart as a reliable tool that businesses can depend
on for decision making insight. Hand-coding of these ETL jobs is no longer a
viable option for any nontrivial project.
Centerprise data integrator’s breadth of connectors coupled with its high-speed
parallel processing engine provides you with the tools needed to efficiently
process high data volumes. The sophisticated data flow and data quality features
ensure that you are able to meet the most demanding data transformation
requirements.
Centerprise’s built-in Slowly Changing Dimension write strategy applies a fast
compare-and-update algorithm to quickly process even the largest of dimension
tables with relative ease. High speed data loading using bulk loads, lookup
caching, and other optimizations ensure that you can process high volume fact
table loads quickly and efficiently. Data validation and profiling features give
you greater insight into the quality of your data as part of a continual
improvement process.