Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without ...

Forbes contributors publish independent expert analyses and insights. I write about AI, big data and data science. In 2013, I spent a lot of time talking about Hadoop's development towards being a ...

Data lakes are increasingly becoming a popular approach to getting started with big data. Simply put, a data lake is a central location where all applications that generate or consume data go to get ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

The terms ‘Big Data’ and ‘Hadoop’ have come to be almost synonymous in today’s world of business intelligence and analytics. The promise of easy access to large volumes of heterogeneous data, at low ...

To make data lakes work for time-series data, it’s important to add good metadata, ensure the ability to connect your analytics platform to your data lake, and take steps to improve data lake ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

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 ...