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 ...

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 ...

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 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 ...

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 ...

Analysis of data fed into data lakes promises to provide enormous insights for data scientists, business managers, and artificial intelligence (AI) algorithms. However, governance and security ...

Teradat is introducing a new platform in the open source space that will deliver unprecedented efficiencies for companies creating data lakes. Teradata is launching Kylo, a data lake management ...

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 ...

“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 ...

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 ...

One of the ways to make big data useful is to collect it all in a Hadoop-based repository and then give users self-service tools to access it. But there are a lot of details that must be hammered out ...