Azure Databricks, a first-party solution jointly developed by Databricks and Microsoft, unifies data engineering, analytics, and AI on a single platform. Fully integrated within the Azure ecosystem, it provides native connectivity to Power BI and enables seamless data flow, unified security, and governance across the entire analytics lifecycle. This deep integration empowers enterprises with a trusted data foundation to drive intelligent decision-making with confidence.
Why Azure Databricks
- Native Integration & Simplified Setup: Azure Databricks is built jointly by Microsoft and Databricks, provisioned directly from the Azure Portal. With no complex API setup or credentials required, it feels like part of your Azure environment from day one.
- Integrated Tooling: Natively connects with Azure Synapse, Power BI, Azure Machine Learning, and Logic Apps. You can move from raw data to transformation, analytics, and visualisation within a single environment.
- Data Proximity: Azure Databricks works in the same cloud region as your Azure data sources (for example, Data Lake, Blob Storage, or SQL Database). This eliminates data transfer latency and egress costs, enabling faster analytics at lower cost.
- Enterprise Scalability & Performance: Automatically scale compute resources up or down based on workload demands. Add more Spark workers when jobs get large, and scale back when demand drops.
- Faster time-to-value: Provisioning, networking, and identity are pre-integrated with Azure. This reduces deployment time from weeks to hours, allowing data teams to start building immediately.
- Future-Ready for AI & Innovation: Azure Databricks gives your organisation the ideal data foundation to future-proof for AI and machine learning like no other platform in market, ensuring you’re ready to scale advanced intelligence when the business is.
What is this offer about?
Adaptiv’s Azure Databricks Enablement helps you adopt Databricks strategically, setting up the platform, aligning workloads, and designing for scale, security, and speed. We help you evaluate the feasibility and alignment of Azure Databricks with your existing data landscape, ensuring a clear understanding of where and how it can deliver the most value within your organisation. Our team identifies integration requirements, governance considerations, and readiness gaps, giving you a clear roadmap.
What's included in the Engagement:
AT A GLANCE
Data Landscape and Architecture review
Analysis of 10–15 high-priority business use cases
Architecture blueprint and governance framework
Implementation roadmap with milestone planning
TIMELINE
Delivered in approximately 100 consulting hours
Our Engagement Model
- Review: Conduct discovery sessions to assess your current state, bottlenecks and opportunities where Databricks can add value.
- Define: Work with your team to define business-aligned goals, outline data domains, and prioritise use cases for activation.
- Plan: Develop a detailed deployment blueprint, covering reporting, pipelines, and optional Machine Learning models.
- Activate: Stand up your Databricks environment, while enabling your teams with training, and a roadmap for what’s next.