Cost Efficiency Strategies for Managed Apache Spark Service with Databricks

Explore cost efficiency strategies for managed Apache Spark services in this 26-minute Databricks conference talk. Delve into the complexities of infrastructure costs in cloud-native environments, focusing on big data and data lake strategies. Learn about Azure Databricks, a fully managed service built on Apache Spark, Delta Lake, and MLflow OSS, offering optimized performance. Discover how to evaluate resource consumption, compare service tiers, calculate and predict costs, and address the needs of data engineers and scientists. Gain insights into cost management best practices and efficiency strategies to make informed decisions when implementing Apache Spark in your organization's data infrastructure.

Introduction
How does it all work
What is Databricks
Azure Cost Managed Services
Do we need experts
Features
Outro