Data integration and data ingestion are two IT disciplines that are often confused. Here's how they differ and challenges you may encounter.

Every data integration initiative-whether it supports better decision making, a merger/acquisition, regulatory compliance, or other business need-requires a set of processes to be completed before the ...

The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

Data integration is a crucial aspect of workplace efficiency and compliance. Read how data integration tools give more visibility and control.

I'd like to share insights on the interplay between AI and data integration in reshaping the analytics landscape.

Many are either in the midst of a data integration project that they feel will solve efficiency issues and yield more accurate forecasting capabilities, or they’re foregoing that aspect, hoping ...

Why Data Integration? Let’s first discuss why it is necessary to bind the PLM and Project systems together. In many companies, the R&D department and the Project Management Office (PMO) are often two ...

Can your business handle a disruption lasting longer than a weekend? Or do you need to execute as quickly as possible in order to avoid interrupting business operations? Can you afford to take 9 ...

Two vendors have rolled out versions of their data integration servers that enable end users and developers to cull data from multiple sources and display it in a single view, such as an ...

The effective integration of data and knowledge from many disparate sources will be crucial to future drug discovery. Data integration is a key element of conducting scientific investigations with ...