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Databricks Accelerator

Launch your data platform in weeks – not months.
RAPID ONBOARDING

Your Databricks workspace running in 4 weeks in your cloud.
ENTERPRISE-READY

Configured with SSO/Auth and governed by Unity Catalog.
PARTNER EXPERTISE

Delivered by certified data engineering specialists.
CLEAR PATH FORWARD

Foundation for ML and GenAI initiatives, ready to extend.
REAL OUTCOMES

Real data pipelines ready to deliver real insights and immediate value.
KNOWLEDGE TRANSFER

Hands-on enablement for your team to build forward independently.

Accelerate Your Databricks Adoption with Confidence

Your teams need a Databricks environment that is secure, governed, and production-ready – fast. DevIQ’s Databricks Accelerator establishes a fully configured workspace, enables your engineers, and delivers value in weeks instead of months. Built for mid-market and enterprise teams balancing modernization with real workloads, our accelerator sets the foundation for scalable pipelines, lakehouse patterns, and AI readiness.

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Solution Offer

Databricks Accelerator Scope of Work

The DevIQ Databricks Accelerator includes a comprehensive workspace setup, pipeline creation, data ingestion and transformation, unity catalog configuration, data analytics demonstration and AI-ready development.

Databricks Workspace Setup

Secure, scalable, and fully optimized data foundation:

  • Deploy Databricks in your cloud
  • Configure storage, compute, workspaces
  • Integrate enterprise IAM (SSO/Auth0)
  • Environment & architecture knowledge transfer
AWS
Azure
Data Ingestion & Transformation

Data ingestion using best practice Medallion architecture:

  • Determine initial data feeds for Databricks
  • Build a Medallion ELT architecture
  • Deliver working Bronze/Silver/Gold pipelines
  • Pipeline design & operation knowledge transfer
Spark Pipelines (DLT)
Unity Catalog Configuration

Comprehensive permissions, access controls, and auditing:

  • Implement Unity Catalog for governance
  • Configure metastore & external locations
  • Define tenant isolation architecture
  • Data sharing & security knowledge transfer
Unity Catalog
Data Analysis & AI/BI Exposure

Practical notebooks for effective data analysis techniques:

  • Develop notebooks for SQL & Python analytics
  • Setup MLflow for ML and Agentic AI workloads
  • Demo BI integrations, e.g. Power BI, Tableau
  • Data exploration & visualization knowledge transfer
Databricks Genie
MLflow
Agile Project Management

Continuous & collaborative project delivery and feedback:

  • Agile methodologies for efficient delivery
  • Daily standups & weekly syncs
  • Regular updates & backlog grooming
  • Timely communication & risk mitigation
Optional Add-ons:

Take the next steps forward post-acceleration:

  • Advanced data engineering & optimization
  • Custom AI & machine learning model development
  • Performance tuning & cost optimization
  • Ongoing support & mentorship
Solution Pricing

Engagement Cost & Duration

DevIQ offers a clear, transparent model for our Databricks Accelerator – fixed-fee, fast to implement, and designed for predictable time-to-value. 

READY TO LAUNCH

Databricks Accelerator

Fixed Fee*, Predicable Cost, No Surprises
As Fast as 4 Weeks*, Quick Time-to-Value
100% Remote Delivery, Efficient Collaboration

Ready to launch Databricks quickly? Let's build your launchpad.

* Fee and duration is dependent on your requirements and desired timeline. Implement our base offering or customize to your needs.

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Already on Databricks?

Our Databricks leadership and Certified Solution Engineers can transform your technology to an enterprise-scalable solution.
Advanced Data Engineering & Optimization
Custom AI & Machine Learning Model Development
Performance Tuning & Cost Optimization
Ongoing Support & Mentorship
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Success Stories

Building on Databricks

DevIQ builds enterprise solutions on Databricks, unifying data, governance, and AI workloads into a single, scalable architecture ready for now and the future.

We guide leading insurtech, healthcare and financial services providers in their data modernization efforts by accelerating their time-to-market and delivering real ROI.

LET'S BUILD
Start Reading

Data as a Strategic Asset: Inside Evertree's Drive for Control, Clarity, and Competitive Edge
Start Reading

iHydrant Case Study: IIoT Data Science & GIS Mapping

"DevIQ enabled us to stand up Databricks in Azure and quickly establish the foundation we needed to explore modern data engineering and analytics, giving us the confidence to move forward with Databricks as a key part of our cloud strategy."​

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Brian SchimolerVP of Engineering, Evertree
FAQ

Databricks Accelerator Questions

The DevIQ Databricks Accelerator is the essential starting point for deploying your next-gen data analytics and AI infrastructure. With our proven methodology, Databricks-certified developers, and outcome-driven approach, DevIQ will accelerate your modernization efforts and establish a secure, scalable foundation in just weeks. More questions? Ask Us ->

How long does the Databricks Accelerator take?

Fast, correlated to client requirements. We’ve optimized our setup, governance, and delivery workflows so your Databricks environment is fully operational on real data quickly. The Accelerator is built for speed, but without compromising security, scalability, or engineering best practices.
What cloud environments are supported?

Azure Databricks and AWS Databricks. We align the accelerator to your cloud strategy, integrating with the native services your enterprise relies on: Azure AD/Entra, Key Vault, IAM, Secrets Manager, etc.

DevIQ is an certified partner on AWS, Azure, and Databricks. If you are interested in deploying on Google Cloud, reach out for a custom quote.
Do you work with our real data or just sample/demo data?

Real data. You get an operational environment connected to your actual sources, not a proof-of-concept. This ensures your team learns in context, validates the architecture early, and begins generating value immediately.
What do we receive at the end of the Accelerator?

A production-ready Databricks foundation. You will have a secure, governed workspace,  real data pipelines, ingestion templates, and a documented architecture aligned to best practices. Your team also receives expert training to confidently manage and extend the environment. See Scope of Work.
Is this a hands-on engagement for our team?

Yes. We embed remotely with your engineers. Our approach is collaborative and transparent. Your team pairs with our data engineers, learning architecture, patterns, and tooling directly in your environment. This accelerates knowledge transfer and reduces long-term dependency on external vendors.
Will this support future AI and ML initiatives?

Absolutely. Our Databricks Accelerator establishes the lakehouse, governance, and pipeline framework needed for ML workloads, feature engineering, and LLM-driven use cases. You gain a strong data foundation built to scale with your AI roadmap.
How secure is the deployed environment?

Enterprise-secure. We implement identity integration (SSO/SAML), Unity Catalog governance, data access controls, and cloud-native security tools. Every component aligns with enterprise compliance, auditability, and least-privilege principles.
What internal resources do we need to provide?

A small technical team and cloud access. Typically one engineer with cloud permissions, one data engineer, and one SME for data sources. We handle the heavy lifting – architecture, deployment, best practices – while your team focuses on learning and validating decisions.
Can this replace our existing pipelines or data platform?

Yes, gradually and safely. You can migrate at your own pace. Our Databricks Accelerator sets the foundation, and subsequent sprints help modernize ingestion, transformation, and analytics to fully shift from legacy systems into a modern, governed lakehouse.
How is this different from other Databricks onboarding services?

We deliver fast, but we also make you self-sufficient. Many partners deploy Databricks for you – we build it with you. The combination of real data, repeatable infrastructure, transparent documentation, and embedded enablement ensures your team can extend the platform confidently long after the engagement ends.

It's Time to Accelerate.

Book a complimentary discovery call about your Data Strategy to learn how DevIQ can accelerate your data, analytics and artificial intelligence ambitions on Databricks.

LET'S BUILD