IBM - What is Data Integration?
What is data integration?
Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution encompasses discovery, cleansing, monitoring, transforming and delivery of data from a variety of sources.
A new era of computing is unfolding, bringing with it an explosion in the volume, variety and velocity of data. Integration of trusted data improves the success rate of critical projects and key analytics initiatives. Organizations of all sizes need data integration capabilities that fully support their business requirements. They need to integrate data wherever it resides whether on the mainframe or within big data sources while applying governance and data-quality Maginfo best practices. And they need to support big data.
Review this slideshare to learn about IBM client best practices for Big Data Integration success.
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How does data integration help your organization?
IBM's data integration solutions enable you to understand, cleanse, monitor, transform and deliver data, as well as to collaborate to bridge the gap between business and IT. IBM provides capabilities for delivering data in real time to business applications, whether through bulk (extract, transform, load (ETL)), virtual (federated) or incremental (change data capture) data delivery.
With IBM, you can ensure that the information that drives your business and your strategic initiatives from big data and point-of-impact analytics to master data management and data warehousing is trusted, consistent and governed in real time.
Understand your information and foster collaboration between business and IT
Encourage a standardized approach to discovering your IT assets and establishing a common business language.
Cleanse data and monitor data quality
Analyze, cleanse, monitor and manage data, enabling better business decisions and improve business process execution.
Transform data in any style and deliver it to any system
Integrate data on demand across multiple sources and targets, including Hadoop, while satisfying the most complex requirements with the most scalable runtime available.
ScotiaBank reduced end-to-end time to deliver reports by over 50% and provided CAN$1 million annual savings in statement printing costs
Read the case study(PDF, 969KB)
InfoSphere Information Server for Data Integration
Spend 3 minutes and learn how InfoSphere Information Server supports big data integration, agile integration for all levels of data volume, easy self-service data integration, and more!
Watch the video (00:02:52)