Greenfield Lakehouse QuickStart ​

Brickbuilder Accelerator Badge


  • Accelerate high-value analytics initiatives and gain experience with Databricks.
  • Get up and running on Databricks in an accelerated timeline.
  • Complete two (2) full data pipelines and analyze with SQL analytics and BI tools.

QuickStart overview


a data team to the Lakehouse


Databricks & data services, non-prod env.


two data full pipelines


with SQL Analytics and BI tools

Quickstart timeline

Stage 1

Lakehouse 101

  • Data Acquisition
  • Simple Data Transformations
  • Organizing Data
  • Security
  • BI, Reporting
  • Optimizing Costs & Management

Stage 2-3

Up & running

  • Implementation → Powered by Infra-as-Code
  • Security Config → Blueprint Security Rapid Config
  • Lakehouse Optimization → Blueprint Lakehouse Optimizer

Stage 4-5

Data pipelines

  • Identify Data Sources
  • Historical & Current Data
  • Data Transformations
  • Data Quality
  • Data Set Creation, Scheduled
  • Tables in the Lakehouse, Ready!

Stage 8-10

BI & analysis, optimize, & roadmap

  • Power BI or Tableau
  • DBSQL for Ad hoc Analysis
  • Dashboards & Reports
  • Utilization Management
  • Roadmap the Future

Deployment journey

Trial activation

AWS or Azure readiness

QuickStart data sources

Scripted build

Sample data & notebooks

Workflows active

Databricks is LIVE!

Lakehouse optimized


Build a net-new use case and validate
cost vs performance and usability of Databricks platform.

  • TCO and performance projection report
  • Established Databricks Lakehouse environment
  • Data ingestion pipeline
  • Platform utilization monitoring app
  • Working end-to-end use case/business process
    deployed to non-production environment
  • Results report and demonstration

Databricks Center of Excellence 

Your one-stop Databricks partner

Limited time offers.
Contact us to get started now.

Thanks for reaching out.

We'll be in touch soon.

In the meantime, find out more about what we do and read some of our cross-industry success stories.