Skip to main content
<
Page 179
>

Databricks Achieves AWS Machine Learning Competency Status

November 28, 2017 by Brian Dirking in
Today we announced that Amazon has awarded Databricks with the Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Databricks...

Women in Big Data, Apache Spark and AI: Bay Area Spark Meetup at Databricks Summary

November 27, 2017 by Jules Damji in
When Fei-Fei Li , the director of Stanford’s AI Lab and now a chief scientist at Google Cloud, was asked in an interview...

Cloud-based Relational Database Management Systems at Databricks

Databricks and Microsoft have jointly developed a new cloud service called Microsoft Azure Databricks , which makes Apache Spark analytics fast, easy, and...

A Technical Overview of Azure Databricks

November 14, 2017 by Matei Zaharia and Peter Carlin in
This is a joint blog post from Matei Zaharia, Chief Technologist at Databricks and Peter Carlin, Distinguished Engineer at Microsoft. Today at Microsoft...

Introducing Azure Databricks

November 14, 2017 by Ali Ghodsi in
99% of organizations still struggle to get valuable analytics from their Big Data and achieve the full potential of AI. Today I’m excited...

Introducing Command Line Interface for Databricks Developers

November 7, 2017 by Andrew Chen in
Introduction As part of Unified Analytics Platform , Databricks Workspace along with Databricks File System (DBFS) are critical components that facilitate collaboration among...

What AWS Per-Second Billing Means for Big Data Processing

November 6, 2017 by Prakash Chockalingam in
Databricks, the Unified Analytics Platform, has always been a cloud-first platform. We believe in the scalability and elasticity of the cloud so that...

Spark Summit EU 2017 Recap and Reflections

November 5, 2017 by Jules Damji in
“Dublin is now a truly cosmopolitan capital, with an influx of people, energy, and ideas infusing the ever-beguiling, multi-layered city with fresh flavors...

Access Control for Databricks Jobs

Secure your production workloads end-to-end with Databricks’ comprehensive access control system Databricks offers role-based access control for clusters and workspace to secure infrastructure...

Continuous Integration & Continuous Delivery with Databricks

Continuous integration and continuous delivery (CI/CD) is a practice that enables an organization to rapidly iterate on software changes while maintaining stability, performance...