How to Put Cluster Management on Autopilot
On-Demand Webinar
A key obstacle for doing data engineering at scale is having a robust distributed infrastructure on which frameworks like Apache Spark™ can run efficiently. On top of building the infrastructure, having proper automatic functioning of the infrastructure is another critical piece for running production workloads.
Join this webinar to learn how Databricks’ Unified Analytics Platform can help simplify your data engineering problems by configuring your distributed infrastructure to be in autopilot mode. Learn how:
Join this webinar to learn how Databricks’ Unified Analytics Platform can help simplify your data engineering problems by configuring your distributed infrastructure to be in autopilot mode. Learn how:
- Databricks’ automated infrastructure will allow you to autoscale compute and storage independently.
- To significantly reduce cloud costs through cutting edge cluster management features.
- To control certain features in the cluster management and balance between ease of use and manual control.
Presenters
Prakash Chockalingam
Product Manager at Databricks
Product Manager at Databricks
Prakash is a product manager at Databricks. Prior to becoming a product manager, he was a solution architect focused on helping customers building big data infrastructure. He has decades of experience building large scale distributed systems and machine learning infrastructure at companies including Netflix and Yahoo.