Data Integration - How To Discuss

Data Integration

The discipline of data integration encompasses the methods, architectural methods, and tools to achieve consistent data access and delivery across all data domains and data structure types in an enterprise to meet the data consumption needs of all applications and business processes.

Data integration tools are traditionally offered in various related markets with vendors offering some type of data integration tool in each market. In recent years, most activity has focused on the ETL tools market. The replication tools, data federation (DIF) and other submarkets included vendors that offered tools optimized for a particular style of data integration, and edge markets (such as data quality, adapters, and data modeling tools) that also offered tools. data integration tools. room. The result of all this historical market fragmentation is an equally fragmented and complex way of integrating data across large organizations: different teams use different tools with little consistency, lots of data duplication and redundancy, no metadata management, no common leverage. Technology buyers are forced to acquire a portfolio of multi-vendor tools to acquire the necessary skills to meet all their data integration needs.

This situation is changing as separate and distinct submarkets of data integration tools converge into vendors and technologies. This is driven by customer demand as companies recognize that they need to take a comprehensive approach to data integration and have a common set of data integration capabilities that they can use across the enterprise. This is also due to the actions of suppliers such as B. in selected data integration submarkets that are organically expanding their capabilities into adjacent territories, as well as through acquisition activities that bring together suppliers from multiple submarkets. The result is a market for comprehensive data integration tools suitable for different styles of data integration and based on common design tools, metadata and runtime architectures.

Literal Meanings of Data Integration

Data:

Meanings of Data:

1. (plural: data) A measure of something on a scale that both the writer (person or device) and the reader (another person or device) can understand. The scale is set arbitrarily, e.g. 1-10 times one, 1-100 times 0.1, or just true or false, on or off, yes, no or maybe, etc.

2. (plural: data) A fact known by direct observation.

3. (plural: data) the starting point from which conclusions are drawn.

4. (plural: dates) A ​​fixed reference point or coordinate system.

Integration:

Meanings of Integration:

1. An action or process of a whole or a whole.

2. (Society) The process of integration into a community, especially among minorities.

3. The operation of finding the integral of a function.

4. In evolution, the process by which diversity condenses into something relatively simple and permanent is thought to alternate with differentiation as the means by which species develop.

5. Combination with compatible embedding elements.

6. The process of segregation.