Company Blog

With over 4 billion subscribers, Viacom is focused on delivering amazing viewing experiences to their global audiences. Core to this strategy is ensuring petabytes of streaming content is delivered flawlessly through web, mobile and streaming applications. This is critically important during popular live events like the MTV Video Music Awards. Streaming this much video can...

Convergence of Knowledge For any Apache Spark enthusiast, these summits are the convergence of Spark knowledge. Used by a growing global community of enterprises, academics, contributors, and advocates, attendees have convened at these summits since 2013 to share knowledge. And this summer attendees will return to San Francisco—to an expanded scope and agenda. Expansion of...

In collaboration with the local chapter of Women in Big Data Meetup and our continuing effort by Databricks diversity team to have more women in the big data space as speakers to share their subject matter expertise, we hosted our second meetup with a diverse and highly-accomplished women in their respective technical fields as speakers...

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...

The confluence of cloud, data, and AI is driving unprecedented change. The ability to utilize data and turn it into breakthrough insights is foundational to innovation today. Our goal is to empower organizations to unleash the power of data and reimagine possibilities that will improve our world. To enable this journey, we are excited to...

Early last month, we announced our agenda for Spark + AI Summit 2018, with over 180 selected talks with 11 tracks and training courses. For this summit, we have added four new tracks to expand its scope to include Deep Learning Frameworks, AI, Productionizing Machine Learning, Hardware in the Cloud, and Python and Advanced Analytics....

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...

We are excited to announce the general availability of Databricks Cache, a Databricks Runtime feature as part of the Unified Analytics Platform that can improve the scan speed of your Apache Spark workloads up to 10x, without any application code change. In this blog, we introduce the two primary focuses of this new feature: ease-of-use...