Data Integration Information

Data Integration

Data integration involves combining data from several disparate sources, which are stored using various technologies and provide a unified view of the data. Data integration becomes increasingly important in cases of merging systems of two companies or consolidating applications within one company to provide a unified view of the company's data assets.
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Data Migration

Data Migration is the process of transferring data from one system to another while changing the storage, database or application. In reference to the ETL (Extract-Transform-Load) process, data migration always requires at least Extract and Load steps.
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Data Synchronization

Data Synchronization is a process of establishing consistency among systems and subsequent continuous updates to maintain consistency. The word 'continuous' should be stressed here as the data synchronization should not be considered as a one-time task.
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ETL comes from Data Warehousing and stands for Extract-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse.
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Business Intelligence

Business Intelligence (BI) is a set of tools supporting the transformation of raw data into useful information which can support decision making. Business Intelligence provides reporting functionality, tools for identifying data clusters, support for data mining techniques, business performance management and predictive analysis.
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Choosing a Software Vendor

Selecting the right data integration tools and vendor can be confusing – our guide walks you through the buying process and explains everything you need to consider.
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