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This is a guest authored post by JT Vega, Support Engineering Manager, Labelbox. While video games and digital content are a source of entertainment, connecting with others, and fun for many around the world, they are also frequently a destination for toxic behavior that can include flaming, trolling, cyberbullying, and hate speech in the form...

Since we launched Databricks on Google Cloud earlier this year, we’ve been thrilled to see stories about the value this joint solution has brought to data teams across the globe. One of our favorite quotes is from Douglas Mettenburg, Vice President Analytics at J. B. Hunt: “Ultimately, Databricks on Google Cloud is now the source...

Databricks clusters on AWS now support gp3 volumes, the latest generation of Amazon Elastic Block Storage (EBS) general purpose SSDs. gp3 volumes offer consistent performance, cost savings and the ability to configure the volume’s iops, throughput and volume size separately. Databricks on AWS customers can now easily switch to gp3 for the better price/performance storage...

The internal logging infrastructure at Databricks has evolved over the years and we have learned a few lessons along the way about how to maintain a highly available log pipeline across multiple clouds and geographies. This blog will give you some insight as to how we collect and administer real-time metrics using our Lakehouse platform,...

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...