Ali Ghodsi - Databricks

Ali Ghodsi

CEO & Co-founder, Databricks

Ali is the CEO and co-founder of Databricks, responsible for the growth and international expansion of the company. He previously served as the VP of Engineering and Product Management before taking the role of CEO in January 2016. In addition to his work at Databricks, Ali serves as an adjunct professor at UC Berkeley and is on the board at UC Berkeley’s RiseLab. Ali was one of the original creators of open source project, Apache Spark, and ideas from his academic research in the areas of resource management and scheduling and data caching have been applied to Apache Mesos and Apache Hadoop. Ali received his MBA from Mid-Sweden University in 2003 and PhD from KTH/Royal Institute of Technology in Sweden in 2006 in the area of Distributed Computing.

UPCOMING SESSIONS

PAST SESSIONS

The Power of Unified AnalyticsSummit Europe 2018

The Power of Unified AnalyticsSummit 2018

Ali is the CEO and co-founder of Databricks, responsible for the growth and international expansion of the company. Ali was one of the original creators of open source project, Apache Spark, and ideas from his academic research in the areas of resource management and scheduling and data caching have been applied to Apache Mesos and Apache Hadoop. Ali received his MBA from Mid-Sweden University in 2003 and PhD from KTH/Royal Institute of Technology in Sweden in 2006 in the area of Distributed Computing

Databricks KeynoteSummit 2017

Democratizing Access to DataSummit East 2016

Databricks' vision is to make big data simple for the enterprise. In this keynote, Databricks co-founder and CEO - Ali Ghodsi - will announce the beta release of Databricks Community Edition, a free version of our cloud-based Spark platform with the goal of making Spark easy to learn and accessible to the masses.

Announcing Databricks DeltaSummit Europe 2017

Databricks CEO Ali Ghodsi introduces Databricks Delta, a new data management system that combines the scale and cost-efficiency of a data lake, the performance and reliability of a data warehouse, and the low latency of streaming.

Learn more:
  • Databricks Delta Guide
  • Databricks Delta: A Unified Data Management System for Real-time Big Data