In today’s world, volumes of data grow exponentially 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. allow this. This Data Integration Info site strives to explain and describe these ideas and concepts of this complex landscape of data management fields.
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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
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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Master Data Management
Master Data Management (MDM) represents a set of tools and processes used by an enterprise to consistently manage their non-transactional data.
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