Solutions
Traditional data integration solutions on the market are complex, bloated, and service-intensive. Companies can now tackle the complexity and cost of enterprise IT projects with semantic data integration software that delivers breakthrough development productivity and data processing performance at a significant price/performance advantage. The expressor solution allows the enterprise to reuse the most labor-intensive elements of data integration projects, deliver superior data processing performance, and reap significant cost savings in both development and project lifecycle management and in hardware and software licensing. The following are just a few of the solutions enabled by expressor:
data migration
Acquisitions, technology migrations, and upgrades in enterprise applications are just a few of the many drivers for data migration. The concept of building integration applications that are tightly coupled with the physical data environment is fundamentally flawed and a main reason why a new semantic approach is needed to overcome this data mapping malaise. The enterprise can now virtualize the physical data environment, driving simple, fast, and smart data migration. With expressor, many data migration initiatives can be completed very quickly, and expressor software offers an innovative pricing model that allow the enterprise to license the software for as little as six months and drive down the total cost of ownership for these kinds of data integration solutions.
data synchronization
Many databases offer synchronization and replication solutions and these implementations work well in those specific environments. When non-relational sources must be included in these solutions however, the relational approaches often deteriorate because of the complexities involved. This is where the expressor solution and be used to integrate and simplify the architecture. Of course semantic integration can benefit these situations, but beyond that expressor includes a rich set of operators (i.e. delta, revolutionary join patterns, etc.) that - when considered in a heterogeneous environment - can provide an efficient synchronization foundation other tools can only drool over.
enterprise data access
Data volume growth and enterprise data complexity continue to explode, overwhelming the ability of traditional tools to cope with large and complex data integration challenges. While the traditional approach to ETL is based on just extracting information from the operational data stores or transactional systems and pushing it to a business intelligence database (e.g. a data mart) for intelligent queries, expressortm provides an abstraction layer that supports both batch and real-time access to enterprise data. It supports multiple operating systems and offers semantic data integration that enables smooth and efficient enterprise data access. Its ability to provide truly relocate-able, high-performance semantic integration across a wide variety of hardware platforms makes it a natural candidate for implementation of an enterprise data access layer.
data warehousing
Even though data warehouses are expanding rapidly to support enterprise access to critical information, 75% of data warehouse builders still custom-code their data integration processes. The expressor solution enables reusability of business rules and expressor processor supports parallel processing on either a single computer or across multiple computers on a network, and it supports both real-time and batch for processing terabytes of data per hour on a single machine. Companies can integrate diverse applications while improving performance, lowering integration costs, and relying on a single architecture for building and maintaining a data warehouse.
master data management (mdm)
Defining and maintaining consistent definitions is essential to sharing data across multiple IT systems and business units, and expressor delivers semantic data integration by providing an abstraction layer and a more manageable process for integrating disparate systems to enable informed decision-making. It delivers smart semantics and pre-built operators that allow organizations to simplify secure access to high-quality data from multiple enterprise applications, and it enables breakthrough scalability to support master data management across the enterprise.
soa
Service-oriented architecture (soa) is a successful paradigm for the design, development, deployment, and management of a loosely coupled business application infrastructure, but it requires complex data exchange. The expressor solution enables infrastructure to connect to web services or messaging queues, and it supports real-time event processing. Organizations can benefit from distributed services and real-time integration, and can simplify integration across disparate applications and services.
complex data exchange
The expressor solution efficiently handles complex data structures and supports hierarchical predicate data—data that includes rules for handling that data. It can natively read and write SAS, Swift, and AWS files, and it allows the enterprise to integrate complex files without the need to “flatten” the data. The expressor processor can be deployed in a mixed environment composed of computers running Windows, linux, UNIX, and IBM mainframe operating systems. It requires a small memory footprint and can process terabytes of data per hour on a single machine to integrate the most complex data sources.
data governance
Managing enterprise information requires policies and rules governing systems, processors, and users, and expressor enables secure, role-based data governance. Unlike traditional integration platforms that allow developers throughout the enterprise to import whatever assets they choose into an application, expressor controls access to data via role-based security. IT can effectively manage and control access according to roles, and can define and enforce efficient policies for data governance. Organizations can also leverage role-based data governance to support secure outsourcing and off-shoring of data integration projects.
data quality
IT can protect the quality of enterprise data by relying on smart semantics to provide a semantic foundation that enables efficient reuse of business rules and common semantics across multiple applications. With smart semantics, organizations can virtualize the external data, providing a consistent, streamlined data integration interface. Most organizations think of data quality only for common fields such as standardizing addresses and names (e.g. “Robert”=”Rob”=”Bob”), but expressor supports data quality for more complex fields, such as product names, order numbers, and product descriptions. By selecting expressor to enhance data quality, organizations can benefit from total lifecycle management while driving down the total cost of ownership and assuring consistent quality rules are implemented across the enterprise.
To find out more about how expressor software can help you solve your data integration problems, visit the why expressor page or contact us.