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For years Hadoop was the default technology for big data analytics. But over time, it has fallen behind as new technologies have been introduced to provide better analytics solutions. Many organizations are looking at their Hadoop costs and trying to justify migrating to a modern cloud-based analytics platform. Databricks just released the whitepaper, “The Hidden...

Today, we are proud to announce the availability of Databricks on Google Cloud. This jointly developed service provides a simple, open lakehouse platform for data engineering, data science, analytics, and machine learning. It brings together the Databricks capabilities customers love with the data analytics solutions and global scale available from Google Cloud. Open data platform...

We are excited to announce that Azure Databricks has received a Provisional Authorization (PA) by the Defense Information Systems Agency (DISA) at Impact Level 5 (IL5), as published in the Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG). The authorization closely follows our FedRAMP High authorization and further validates Azure Databricks security...

This is a collaborative post co-authored by Principal Product Manager Premal Shah, Microsoft, and Principal Enterprise Readiness Manager Abhinav Garg, Databricks We're excited to announce the general availability of Secure Cluster Connectivity (also commonly known as No Public IP) on Azure Databricks. This release applies to Microsoft Azure Public Cloud and Azure Government regions, in...

Today, we’re excited to announce Databricks’ partnership with Accenture to provide high-value Databricks services and reusable components to enterprise clients globally. Specializing in data strategy and design, data platform modernization and AI, the Accenture data and artificial intelligence (AI) team leverages Databricks’ Unified Data Analytics Platform to streamline proven methodologies for large-scale machine learning deployments....

The challenges of data quality One of the most common issues our customers face is maintaining high data quality standards, especially as they rapidly increase the volume of data they process, analyze and publish. Data validation, data transformation and de-identification can be complex and time-consuming. As data volumes grow, new downstream use cases and applications...

This is a guest authored post by Heather Devane, content marketing manager, Immuta. Cloud data analytics is only as powerful as the ability to access that data for use. Yet, the data stewards responsible for managing data governance often find themselves in a holding pattern, waiting for approval from various stakeholders to operationalize data assets...

More than 200,000 individuals have participated in Databricks' certification and training over the past four years, including thousands of partners. In the past year alone, over 75,000 individuals have been trained and over 1,500 customers and partners have also earned their Databricks Academy Certifications. Today, we are pleased to announce new digital badges so you...

Martin Zapletal, Software Engineering Director at Disney+, is presenting at re:Invent 2020 with the session How Disney+ uses fast data ubiquity to improve the customer experience (must be registered to watch but registration is free!). In this breakout session, Martin will showcase Disney+’s architecture using Databricks on AWS for processing and analyzing millions of real-time...

We are excited to announce that Azure Databricks is now generally available in Microsoft’s Azure China region, enabling new data and AI use cases with fast, reliable and scalable data processing, analytics, data science and machine learning on the cloud. With availability across more than 30 Azure regions, global organizations appreciate the consistency, ease of...