Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.
Dr. Werner Vogels, Amazon.com VP and CTO, used his AWS re:Invent keynote speech to talk about the benefits of building asynchronous, loosely coupled systems and how an event-driven architecture (EDA) enables them.
Creating a disaster recovery plan helps companies protect their data ecosystem and access even in the face of the biggest disruptions.
The new capabilities enable businesses to analyze Amazon Aurora data with Amazon Redshift in near real time, eliminating the need to extract, transform, and load (ETL) data between services.
Ryan Fattini explains how a data fabric and virtualization help feed one retailer’s growing appetite for data.
Kyligence explains how a unified semantic layer becomes the metrics for shaping a data-driven business.
Environment-as-a-Service offers companies the chance to improve the development lifecycle in the cloud. Here’s what’s most important.
As companies migrate, IT professionals surveyed agreed that it’s essential to choose a cloud database vendor that supports multi-cloud capabilities.
Over the past two years, Google Cloud has launched new solutions and integrations to have the same comprehensive coverage as Amazon Web Services and Microsoft Azure.
Here is a snapshot of the latest technology and innovative use cases for working with data streams from Current 2022. And best of all, get practical information for getting started with or scaling data-streaming applications.
Organizations looking to move more of their business onto the cloud must come up with a comprehensive strategy for transitioning from on-premises solutions to a hybrid cloud model.