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 ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Cloud data lakes are an increasingly critical complement to ...

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 ...

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 ...

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 ...

Teradata (NYSE: TDC), the big data analytics and marketing applications company, announced a new “design pattern” approach for data lake deployment which leverages years of experience in big 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 ...

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 ...