Company Blog › Announcements

Today we are proud to introduce the Databricks Unified Analytics Platform for Genomics. With a unified platform for genomic data processing, tertiary analytics, and machine learning at massive scale, healthcare and life sciences organizations can accelerate the discovery of life changing treatments and further advancements in personalized and preventative care. The Genomic Data Explosion The...

Everyone who has tried to do machine learning development knows that it is complex. Beyond the usual concerns in the software development, machine learning (ML) development comes with multiple new challenges. At Databricks, we work with hundreds of companies using ML, and we have repeatedly heard the same concerns: There are a myriad tools. Hundreds...

Databricks is thrilled to announce the Databricks Runtime for Machine Learning, including ready-to-use Machine Learning frameworks, simplified distributed training, and GPU Support. Register for our upcoming webinar to learn more. Today more than ever, data scientists and Machine Learning practitioners have the opportunity to transform their business by implementing sophisticated models for recommendation engines, ads targeting,...

The AI Dilemma Artificial Intelligence (AI) has massive potential to drive disruptive innovations affecting most enterprises on the planet. However, most enterprises are struggling to succeed with AI​. Why is that? Simply put, AI and Data are siloed in different systems and different organizations.​ Enterprise data is siloed across hundreds of systems such as data...

Databricks is excited to announce the launch of Databricks Academy self-paced training offerings. Now you can master the Databricks Unified Analytics Platform, powered by Apache Spark™, anytime and anywhere. About Databricks Academy Self-Paced Training Databricks self-paced training allows Data Analysts, Data Scientists, and Data Engineers to gain mastery of the Databricks Unified Analytics Platform with...

Databricks is thrilled to announce our new optimized autoscaling feature. The new Apache Spark™-aware resource manager leverages Spark shuffle and executor statistics to resize a cluster intelligently, improving resource utilization. When we tested long-running big data workloads, we observed cloud cost savings of up to 30%. What’s the problem with current state-of-the-art autoscaling approaches? Today,...

As a digital society built around data and devices, we have reached a pivotal juncture where data and Artificial Intelligence must be accessible to everyone. Riding this trend, many homes now contain smart devices such as the Amazon Echo or Google Home. Yet these devices only offer limited computational power and AI capabilities. To remedy...

In recent years, machine learning has become ubiquitous in industry and production environments. Both academic and industry institutions had previously focused on training and producing models, but the focus has shifted to productionizing the trained models. Now we hear more and more machine learning practitioners really trying to find the right model deployment options. In...

It’s hard to believe that we are already three weeks into 2018. If you’re still struggling to get valuable insights from your data, now is the perfect time to try something new! We recently announced Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. With Azure Databricks, you can help your...

Over the past few years, the demand for artificial intelligence (AI) and machine learning capabilities has surged with innovations in natural language processing, task automation, and predictions. From autonomous cars to a more personalized shopping experience, big data and artificial intelligence is at the forefront of new solutions that are delighting customers, improving business operations...