AZURE DATABRICKS QUICK START
Make your data AI-ready fast
What does the Azure Databricks Quick Start program offer?
This is a focused 3–5 week engagement to help you deploy and configure Azure Databricks for data engineering, advanced analytics, and machine learning—all within a unified, scalable Azure ecosystem. If you’re grappling with data complexity, exploring predictive analytics or AI, or want to move beyond traditional BI, this program is for you.
Why it matters
Enterprises today need secure data and real-time insights, not more dashboards. Azure Databricks with its unified, open governance for data and AI eliminates silos and improves time to insight—at scale. This engagement is the steppingstone towards building and deploying on Databricks without having to wrangle infrastructure anymore.
What to expect
By the end of the program, in 5 weeks, you’ll have a modern, AI-ready data architecture and a unified platform to run analytics. More importantly, you'll have a solid foundation to scale your machine learning initiatives
Use case workshop
Define and prioritize your ideal scenario—data engineering, analytics, or ML
Databricks environment setup
Deploy and configure a production-ready Azure Databricks workspace
Fabric & OneLake integration
Connect and unify your data estate for seamless access and governance
Proof of value
Deliver a working analysis, pipeline, or machine learning model
Frequently asked questions
How long does the Azure Databricks Quick Start take?
This engagement will be completed within 3–5 weeks, depending on the complexity of your use case and data environment.
Do I need to have Microsoft Fabric or OneLake already set up?
No. We work with your current environment and incorporate Microsoft Fabric and OneLake only if needed.
What kind of use cases can you support?
We tailor the engagement based on your goals, which could range from data engineering and pipeline modernization to advanced analytics and reporting to machine learning and predictive modeling.
Can I expect a working solution or only strategy?
You’ll receive a working proof of value—such as a data pipeline, analytics solution, or machine learning model—so you can see real results, not just recommendations.
What data sources can be integrated?
Azure Databricks supports a wide range of sources, including:
- Cloud and on-prem databases
- Data warehouses and lakes
- APIs and streaming data
We’ll connect to the sources most relevant to your use case.
Is this suitable if we’re just starting our AI journey?
Absolutely. This engagement is ideal for organizations regardless of the stage of AI maturity, providing a strong foundation for future analytics and machine learning initiatives.
How does this differ from traditional BI implementation?
Unlike traditional BI that focuses on reporting and dashboards, this engagement enables scalable data processing, advanced analytics, and machine learning, helping you move towards AI-driven decision-making.
What happens after the Quick Start?
At the end of the engagement, you’ll have a validated use case, a deployed environment and a roadmap for scaling. We’ll also support ongoing implementation, optimization, and expansion.
Are there Microsoft funding or incentives available?
Yes. Depending on your scenario, you may be eligible (however not guaranteed) for Data & AI Cloud funding, Fabric and Databricks incentives, and co-sell opportunities with Microsoft. We’ll help you identify and apply for applicable programs.
How do we get started?
Simply reach out to our team to schedule a quick discovery session. From there, we’ll align on your use case and kick off the engagement.