'Big data' and the impact of analytics on large quantities of data is a persistent meme in today's Information Technology market. One of the big questions looming in IT departments about big data is ...

Interleaving concepts to create texture and knowledge depth. The BRM is tasked with increasing awareness of data-management practices such as acquisition, cleansing, and modeling or with data ...

Data management concepts, such as data thinning and filtering, can help to efficiently navigate data silos at the edge and ensure necessary data is readily available for analysis and a faster ...

A basic implementation of EMM is the operational data catalog which represents an indexed collection of the enterprise data sources. Going a step further is the concept of augmented data catalogs ...

These decentralized data management concepts, growing in popularity, could lead to an infrastructure that matches your organization’s exact needs. by . Ernie Smith. Ernie Smith is a former contributor ...

Exafluence Inc. addresses this white space issue by building an analytics application on top of MongoDB Inc. and deploying master data management concepts for better decision-making, according to ...

Data management is about defining processes and procedures to ensure the data flowing into your ... projects will be abandoned after proof of concept by the end of 2025, due to poor data ...

Gartner once proclaimed that data catalogs were “the new black” when it came to data management and analytics. It’s not a new concept per se; there’s long been an understanding that you need a common ...

Join our Nasdaq Calypso Data Management Virtual Training. Enhance your skills and knowledge in Nasdaq Calypso data management techniques. Register now for this comprehensive training program.

Clinical Trial Data Management II (45 minutes): The goal of the workshop is to provide practical examples of data management concepts in the context of clinical trials. Attendees will see how to apply ...