DATABRICKS CENTER OF EXCELLENCE
Databricks Commit Forecasting Workshop
Workshop Goals
- Analyze and accurately report Databricks historical cost consumption
- Right-size your commitment for reserved instances to maximize discounts
- Identify opportunities to optimize cost and performance
Forecast with Confidence
Considering reserved instances or budgeting for your next renewal?
The Lakehouse Optimizer powered by Blueprint gives you granular visibility into Databricks costs and performance to forecast with confidence.
How it works
![](png/blueprint_databricks_commit_forecasting_workshop-1-1-1200x360.png)
Day 0
Customer completes discovery questionnaire
Day 1
- Stakeholder interviews to discover current vs. future state
- Identify anticipated changes and consumption objectives
- Deliverable: Deploy and configure Lakehouse Optimizer
Day 2
- Collect historical billing data over one-year time horizon
- Analyze cost trends and growth initiatives
- Generate enhanced forecast
- Deliverable: Lakehouse Consumption Forecast document
Day 1-30
Lakehouse Optimizer runs for 30 days to collect telemetry data for analysis
Day 31
Deliverable:
Detailed Performance Report, including recommended optimization strategies
Lakehouse Optimizer delivers
Granular visibility into your Databricks utilization and costs
Automated analysis of costs and performance by workspace, pipeline, job, or line of code
Insights into levers that impact cost and performance
Clarity on how to prioritize your team’s work
Justification for costs to specific teams, services, and products to track ROI