To maximize the benefits of cloud, data & machine learning and make it available to innovative digital teams and customers, the data lake is the definite reference model. How can we accelerate its implementation and scope without losing control or jeopardizing its sustainability?

The ability for cloud data warehouses to provide a single platform that enables organizations to analyze data at any scale is a market changing capability. Sure, much has been made of the ability of applying Artificial Intelligence (AI) to this data to gain insight into new areas, ultimately to increase an organization’s competitiveness. There is however a greater level of impact that this architecture can have that can be independent of AI and ultimately inclusive of AI.

We are very excited to announce that Unravel is now available for Google Cloud Dataproc. If you are already on GCP Dataproc or on a journey to migrate on-premises data workloads to GCP Dataproc then Unravel is now available immediately to accelerate and de-risk your Dataproc migration and ensure performance SLAs and cost targets are achieved.

We are super excited to announce our support for Azure Databricks! We continue to build out the capabilities of the Unravel Data Operations platform and specifically support for the Microsoft Azure data and AI ecosystem teams. The business and technical imperative to strategically and tactically architect the journey to cloud for your organization has never been stronger.