Built upon cost-efficient cloud object stores such as Amazon S3, cloud data lakes benefit from an open and loosely-coupled architecture that minimizes the risk of vendor lock-in as well as the risk of ...

Amazon Web Services (AWS) offers a good working definition - a data lake is a “centralised repository that allows you to store all your structured and unstructured data at any scale. You can ...

One of the main elements of the project was investing in the AWS data lake infrastructure, and establishing a visualisation strategy for how to plug various data sources into that. Initially ...

"With support for AWS Lake Formation, we are enhancing security, governance, and efficiency for our customers, empowering them to extract maximum value from their data while maintaining the ...

04, 2024 (GLOBE NEWSWIRE) -- Cribl, the Data ... Lake is now available as a source for Cribl Stream. The company has also achieved Amazon Security Lake Ready Specialization and the AWS Migration ...

Meanwhile, SageMaker Lakehouse provides connections from SageMaker and other tools to data stored in AWS data lakes, data warehouses ... including SQL analytics, ad-hoc querying, data science ...

Amazon S3 data lakes, and AWS Glue. The next generation of SageMaker brings together these capabilities—along with some exciting new features—to give customers all the tools they need for data ...