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This is a collaborative post from Databricks and Forest Rim Technology. We thank Bill Inmon, Founder and CEO, and Mary Levins, Chief Data Officer, of Forest Rim for their contributions.   The amount of healthcare data generated today is unprecedented and rapidly expanding with the growth in digital patient care. Yet much of the data...

This is a co-authored post written in collaboration with Moritz Steller, AI Evangelist, at John Snow Labs. Don't miss our virtual workshop, Extract Real-World Data with NLP, on July 15 to learn about our new NLP solutions. In 2015, HIMSS estimated that the healthcare industry in the U.S. produced 1.2 billion clinical documents. That’s a...

This is a guest co-authored post. We thank Connor Gervin, partner engineering lead, KX, for his contributions. KX recently announced a partnership with Databricks making it possible to cover all the use cases for high-speed time-series data analytics. Today we’re going to explain the integration options available between both platforms for both streaming and batch...

This is a guest authored post by Nick Lee, partnership integration lead, at Labelbox Large data lakes typically house a combination of structured and unstructured data. Data teams often use Apache Spark™ to analyze structured data, but may struggle to apply the same analysis to unstructured, unlabeled data (specifically in the form of images, video,...

Azure Databricks support for Microsoft Azure Spot Virtual Machines (Spot VMs) is now generally available. Together, Spot VMs and Azure Databricks help innovative customers like aluminum and energy producer Hydro accelerate data + AI workloads while optimizing costs. By using Spot VMs as workers for Azure Databricks clusters, you can save up to 90%* on...

The Databrick Lakehouse Platform is the world’s first lakehouse architecture -- an open, unified platform to enable all of your analytics workloads. A lakehouse enables true cross-functional collaboration across data teams of data engineers, data scientists, ML engineers, analysts and more. In this article, we will share a list of cloud security features and capabilities...

We’re excited to release the Customer-managed key (CMK) public previews for Azure Databricks and Databricks workspaces on AWS (Amazon Web Services), with full support for production deployments. On Microsoft Azure, you can now use your own key to encrypt the notebooks and queries managed by Azure Databricks; this capability is available in the Premium pricing...

Diamond sponsor Microsoft and Azure Databricks customers to present keynotes and breakout sessions at Data + AI Summit 2021. Register for free. Data + AI Summit 2021 is the global data community event, where practitioners, leaders and visionaries come together to shape the future of data and AI. Data teams will participate from all over...

This is a guest co-authored post. We thank Igor Alekseev, partner solution architect at AWS, for his contributions.   Data + AI Summit: Register now to join this free virtual event May 24-28 and learn from the global data community. Amazon Web Services (AWS) is a Platinum Sponsor of Data + AI Summit 2021, one...

With the release of Tableau 2021.1, we have added new functionality to the Tableau Databricks Connector that simplifies security administration and streamlines the connection experience for end users. The updated connector lets Tableau users connect to Azure Databricks with a couple of clicks, using Azure Active Directory (Azure AD) credentials and SSO for Tableau Online...