Thursday, October 10, 2019

Word of the Day: data integration

 
Word of the Day WhatIs.com
Daily updates on the latest technology terms | October 10, 2019
data integration

Data integration is the process of retrieving data from multiple source systems and combining it in such a way that it can yield consistent, comprehensive, current and correct information for business reporting and analysis. Integration is the act of bringing together smaller components into a single system that functions as one. In computing, the source systems may be various types of digital devices and the data may be in a variety of formats.

Important data integration techniques include:

Data consolidation: Data is copied from multiple sources and integrated into a single data store.

 

Data propagation: Applications copy and push data from one location to another.

 

Data federation: Data federation software enables an organization to aggregate data from multiple source systems into a virtual database for use in business intelligence (BI) and other analyses.

 

Data warehousing: Data warehouses store data collected by various operational systems; the data is captured for access and analysis, rather than transaction processing.

 

Customer data integration

 

Customer data integration (CDI) was one of the first drivers for consolidating and managing information from disparate sources. Software for managing data gathered through customer interactions can help ensure that departments across a business are able to reliably access the most current and complete view of customer information available.

 

Data integration in the cloud

 

Integration as a Service (IaaS) is a cloud-based delivery model that strives to connect on-premise data with data located in cloud-based applications. This paradigm facilitates real-time exchange of data and programs among enterprise-wide systems and trading partners.

In business-to-business (B2B) integration, IaaS allows partners to develop, maintain and manage custom integrations for diverse systems and applications in the cloud. In this way, the enterprise can more effectively pursue process innovations without the need to constantly modify and maintain diverse and often incompatible application programs.

Quote of the Day

 
"As software as a service witnesses rapid growth, the challenges of integrating with legacy and homegrown applications compound." - Sayid Shabeer

Learning Center

 

5 data integration challenges and how to overcome them
Data integration comes with its fair share of challenges. While automation can help with many of them, there are other methods to consider. Here's a look at the top five data integration challenges and how to deal with them.

Talend offers automated migration to cloud data warehouse
Talend on Tuesday added automated migration from on-premises and legacy data warehouses to Snowflake to save time and let businesses share data across units, partners and locations more easily.

Data integration problems a hurdle companies must overcome
Despite how critical business intelligence has become, overcoming data integration problems remains a big challenge. In part 2 of a two-part Q&A, Talend CEO Mike Tuchen discusses the challenges enterprises face when they gather and analyze data. In part 1, Tuchen talks about mining relevant data.

5 best practices for managing real-time data integration
Real-time data integration isn't like traditional data integration -- it's moving and it's temporal. Get tips about the benefits of up-front simulations, the importance of parallel processing and more.

5 modern ETL tools for microservices data integration
Microservices data integration requires real-time data. Traditional ETL tools perform batch integration, which just doesn't work for microservices. Learn about modern ETL tools that provide the real-time data integration needed for distributed applications.

Quiz Yourself

 
The majority of stakeholders want access to current information as well as ________ data.
a. historical
b. historic

Answer

Stay in Touch

 
For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com

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