LONDON--(BUSINESS WIRE)--Quantzig, a leader in delivering scalable analytics and data science services, announced the completion of its recent article, a Q&A compilation that offers comprehensive ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs A data lake is a system or repository that stores ...

“Data lake” is a concept that has recently attracted a lot of attention in the healthcare industry. These massive repositories of both raw and refined data can be invaluable assets for organizations ...

Data lakes are being shaped in a new way and according to Paul Sonderegger, senior data strategist, Oracle, there are three factors driving this. Sonderegger discusses what is driving data lake ...

Has your company implemented a data lake? It wouldn’t be a surprise. With the rise in big data demands, a data lake implementation has the potential to improve analytics, create wider data ...

Building on its data lake vision, Pivotal today announced the next step in this approach with the implementation of an architecture that builds upon disk-based storage with memory-centric processing ...

While much has been said and written about the data lake, in the end, the concept has stayed pretty simple. The idea has been to use Hadoop as a place that data of all types could be stored in greater ...

The reality for many banks is that data lakes are becoming data swamps, with business users unable to access the large volumes of machine-generated, clickstream, and externally generated data that ...

In mid-2014, a pair of Gartner analysts levied some trenchant criticisms at the increasingly hyped concept of data lakes. "The fundamental issue with the data lake is that it makes certain assumptions ...