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

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


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

Databricks Center of Excellence 

Your one-stop Databricks partner

Limited time offers.
Contact us to get started now.

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