Company Blog

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...

Customers today leverage a variety of data sources to perform complex queries to drive business insight. For example, to better understand user behavior, an analyst might correlate click-through analytics streams from their data warehouse with customer metadata from Salesforce. The Databricks Runtime provides a variety of built-in Apache Spark™ data source connectors (AWS | Azure),...

We have recently shipped the new Databricks Runtime version 4.1 powered by Apache Spark™. Version 4.1 brings improved performance on read/write from sources like S3 or Parquet, improved caching, and a great deal of quality and feature improvements for the preview of Databricks Delta focused on faster query execution and adaptive schema and type validation....

Apache Spark is tackling new frontiers through innovations by unifying new workloads. This enables developers to combine data and AI to develop intelligent applications. Developers come to this summit not just to hear about innovations from contributors. They come to share their use cases, experiences, and absorb knowledge. @matei_zaharia just announced support of #kubernetes in...

By any measurement today, in the digital media, technical conferences and citations, or searches on Google trends, the frequency of terms like artificial intelligence, machine learning, deep learning or data science is on the rise. A special report in The Economist makes the case that Artificial Intelligence (AI) and Machine Learning (ML), and its purported...

Within a couple of years of its release as an open-source machine learning and deep learning framework, TensorFlow has seen an amazing rate of adoption. Consider the number of stars on its github page: 98+K; look at the number of contributors: 1500+; and observe its growing penetration and pervasiveness in verticals: from medical imaging to...

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...