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helping enterprises become AI-native organizations

Optimising your Databricks spending. Tips and tricks for a well governed deployment

Databricks is a serious investment. Most organisations running it in production are not getting the most out of every euro they spend. This session is about fixing that, with practical techniques you can apply right away.

AUG

27

Thursday

event time

CET

About the Webinar

Databricks costs can spiral quickly. Compute clusters left running, poorly optimised jobs, ungoverned workspaces, teams duplicating data assets: these are not hypothetical problems. They are the ones showing up in real billing dashboards every month.

In this free live webinar, Alexandru Puiu, CTO at mindit.io, and Vlad Mihalcea, Business Intelligence Technical Lead at mindit.io, bring their implementation experience to the table. Together they cover the governance structures, configuration choices, and operational habits that separate a well-run Databricks deployment from one that quietly burns budget.

This is not a theoretical overview. It is a practical session built around what actually works in production environments, including the mistakes most teams make at the start and the fixes that deliver the fastest results.

What You Will Learn

By the end of this 30-minute webinar, you will have a clear understanding of:

  • How Databricks pricing works and where costs accumulate most often in real deployments
  • Cluster configuration best practices: auto-termination, instance selection, spot vs on-demand, and cluster policies that prevent overspending
  • Job and workflow optimisation: how to reduce compute time without sacrificing reliability or data freshness
  • Unity Catalog governance as a cost control mechanism: tagging, access controls, and data lifecycle management
  • How to use Databricks’ own cost monitoring tools and system tables to identify waste before it becomes a budget issue
  • Common BI workload inefficiencies and how to tune queries, dashboards, and scheduled jobs for lower compute consumption
  • How to build a cost-aware culture in your data team without slowing down delivery

Webinar Agenda

2:00 PM: Where Databricks costs come from: a practical breakdown, Cluster governance and configuration: the high-impact changes
2:10 PM: Job optimisation and workflow efficiency
2:15 PM: BI workloads, dashboards, and query tuning
2:25 PM: Unity Catalog as a cost governance layer
2:30 PM: Live Q&A

Who Should Attend

This webinar is designed for:

  • CTOs, CDOs, and Engineering Managers responsible for data platform budgets
  • Data Engineers and Architects who build and maintain Databricks workloads in production
  • BI Developers and Analysts who run dashboards and scheduled reports on Databricks
  • Platform and FinOps teams looking to bring cost visibility to their data infrastructure
  • Anyone who has seen their Databricks bill and wondered where the money is actually going

Meet the Speakers

Alexandru Puiu, CTO at mindit.io. Alexandru has guided multiple organisations through cloud-native data platform adoptions, including Databricks deployments across retail, banking, and manufacturing. He brings the view from the implementation side: what works in production, what drives costs up, and what governance decisions make the difference long-term.

Vlad Mihalcea, Business Intelligence Technical Lead at mindit.io. Vlad works day-to-day with dashboards, data models, and query performance on top of Databricks. He has a practical understanding of where BI workloads create unnecessary compute costs and what it takes to fix them without disrupting delivery.

Event Details

Date: Wednesday, August 27, 2025
Time: 2:00 PM CEST
Format: 30 minutes. Live online webinar with Q&A
Cost: Free, registration required

/speakers

Alexandru Puiu

CTO & Data Architect

Alexandru Puiu is the CTO of mindit.io, with over 8 years of experience in building tech communities, driving cloud migrations, and ensuring security best practices. He specializes in Business Intelligence, managing large-scale ETL processes and Azure migrations, alongside expertise in software development with Java, Python, and cloud technologies.

Vlad Mihalcea

Vlad Mihalcea

Business Intelligence Technical Lead at mindit.io

Mihalcea Vlad-Alexandru, Business Intelligence Technical Lead focused on data quality, governance, and delivering successful analytics projects. I train and mentor teams to achieve industry certifications while supporting them with hands-on guidance throughout implementation.

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