DATA INTEGRATION

The harm caused by application islands. Business requirements and the tumultuous growth of the market have created application islands in information systems, each of them with its own data bases and codings. The need of data integration raises because it is not always possible to create an architecture by planning coherently for growth. This involves the risk of having information systems that are not able to dialog or that use different formalisms for elements that are the same. Nowadays, companies look for coherence and trustworthiness in information systems: compliance with laws and regulations, security of information, together with guarantee of performance and scalability. In addition, the information system must supplyuseful data for dealing with income and profits.

THE BENEFIT OF DATA INTEGRATION

IData itegration is an essential mechanism for strategic management. Reconciling data and creating intermediate databases are some of the solutions of Data Integration.
Beta 80 Group specializes in data integration solutions, with focus on the process of standardizing the conceptual schema with which fields and codes are used that are common to company divisions. The result is obtained by overcoming the differences in technological platform or data architecture. The data must be standardized in a uniform conceptual schema, managed by an application that represents the state of the art in its context.
Data integration solutions developed by Beta 80 Group are based on open standards, that give rise to a homogeneous framework for integrating data originating from heterogeneous sources (IBM DB2, MySQL, Microsoft SQL Server, Teradata, Oracle Database, ERP systems, etc.). The benefit is the certainty of having consistent data on which to base the business's development.

DATA INTEGRATION: HOW TO PROCEED

Data Integration solutions respond to the needs for company data integration by combining SOA infrastructures with conventional data management components: ETL, Data Quality, Data Profiling and Master Data Management. The platforms also offer advanced services for delivery, handling, connection, integration and managing metadata. There are various fields of application for the solutions.
SOA: creation of areas for publishing database events for SOA/BAM/CEP; efficient management of Bulk Data Processing; complex transformations of data into SOA services.
Master Data Management: creating "Single View of the Truth" in real time; aggregating multiple operational sources; data synchronization; support for master data store; publication of modification on master data to all users.
Data Integration: loading historical data and synchronization between new and old applications; complex transformations of data; maintaining data consistency between different applications.
Business Intelligence: real-time data warehouse and high performance supply; aggregation and alignment of data for operational environments and performance management.
Evolutions, migrations and consolidations: mainframe/iSeries sources to other DBMS; re-engineering of legacy batch processes with SOA; unification of structured and non-structured data handling; updating of applications or migrations to new data models; mass loading and synchronization of current transactions; support for migrations from acquisitions or mergers.