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Data lake storage: Cloud vs on-premise data lakes The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-premise vs the cloud? Share this item with your network: By Published: 18 Feb 2021 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’ll start at the top of that hierarchy and look at data lakes. As organisations try to get a grip of their data and to wring as much value from it as they can, the data lake is a core concept. ....
Twitter in 2018 decided to work with Google Cloud to move cold data storage and its flexible compute Hadoop clusters to Google Cloud Platform (GCP), to enable the company enhance the experience and productivity of its engineering teams working with its data platform. ....
How Apple is secretly improving iCloud Prominent new hires show that Apple is significantly expanding its cloud department By Stephan Wiesend | 21 Jan 21 Even the biggest fans of the company have not always been satisfied with the functionality and performance of Apple s iCloud services. Especially when compared to competitors such as Google, Amazon with its cloud service AWS and Microsoft with Azure, Apple always seems to fall behind - which is why we put together a list of the best alternatives to iCloud. By contrast, those companies can point to rapidly increasing sales and user numbers - Apple itself is one of the largest AWS customers and, in addition to its own servers, relies heavily on the infrastructure of Microsoft and Google too. But it looks like Apple has some big plans in this area, based on new hires and other rumours. ....