A full-fledged data integration solution delivers trusted data from a variety of sources.
Data Integration is a data preprocessing technique that combines the data from multiple data sources having its source external into a unified, logical and consistent data store. Data extracted from many operational systems is the most raw form of data, in the sense that it has not been transformed, cleansed, or modified. It may contain errors as a result of data entry procedures or applications and usually has some missing values. It is also usually scattered over several tables and files. However, it is the most honest and genuine representation of the status of any business.
Data integration may therefore involve inconsistent data and therefore needs data cleaning. In the current world, volumes of data rise and expand in all realms from personal data to enterprise and global data. Thus it is becoming extremely important to be able to understand data sets and organize them. Such disciplines as data integration, migration, synchronization, business intelligence etc. permit this.
Why Data Integration is required?
For example if HR department and production department maintain their individual databases, it might not be possible to analyze the correlation between yearly incentives and employee’s productivity.
Data integration provides a mechanism to integrate these data from different departments into a single data warehouse.
It’s about efficiently managing data and making it available to those who require it. This is absolutely indispensable to technical and business practices.
N2 Services Center of Excellence specializes in EAI, SOA and Adapter based integration Services. We pride ourselves in reviewing the current trends in System Integration methodologies and updating our reference architectures accordingly.
Please visit our Library section to review some of the whitepapers we have published as part of our Center of Excellence initiative.
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