Data lakes make their move to the cloud.
First created to overcome the limitations of the traditional data warehouse, data lakes offer the scalability, speed, and cost effectiveness to help you manage large volumes and multiple types of data across your various analytic
initiatives – AI, machine learning, streaming analytics, BI, and more.
While early on-premise solutions like Hadoop paved the way for data lakes and created their initial architectural framework, cloud platform providers and other cloud-native innovators have further enhanced the possibilities. Today, with data lakes increasingly migrating to the cloud, you can take advantage of new benefits – avoiding the high upfront costs of setting up and maintaining a lake, and focusing on getting the most value out of your data.