Lakehouse Accelerator for Fabric & Azure Databricks

WHO IT’S FOR Chief Data and Analytics Officers, VPs and Directors of Data and Analytics, Heads of Data Engineering, CIOs and CTOs, and the data science and AI teams that depend on reliable data. It is built for mid-market and enterprise organizations with a fragmented data estate. We have deep experience in financial services (banking, insurance, capital markets), and the approach applies to other industries with many data sources, such as retail, manufacturing and utilities.

WHAT MAKES IT DIFFERENT Most data platforms stall because every source is built as a new project, and governance is added after the fact. Our reusable, metadata-driven framework standardizes ingestion and transformation across Bronze, Silver and Gold layers, with logging, data quality and lineage built in. That cuts manual effort, speeds onboarding of each new source, and gives business users data they can trust. You choose the platform path that fits your organization, and everything runs in your own Azure tenant.

WHAT YOU RECEIVE • Lakehouse reference architecture on Microsoft Fabric or Azure Databricks • Automated, metadata-driven ingestion for your priority sources • A production-ready platform with your first use case live, including first analytics and dashboards • Governance, lineage and monitoring in place • Documentation and handoff to your team • A roadmap to scale to more domains, sources and AI workloads

SUPPORTED MICROSOFT PRODUCTS Microsoft Fabric (OneLake, Direct Lake), Azure Databricks, Power BI, Microsoft Purview, Azure Key Vault and Azure AI services. The exact services depend on the platform path you choose.

PREREQUISITES • An Azure subscription and permissions to deploy in it • A named business owner and a prioritized first use case • Access to the priority data sources, with a data or platform owner available throughout • Security and network approvals for connecting those sources • Fabric capacity or an Azure Databricks workspace (we can help you size this)

LIMITATIONS AND CONDITIONS • The engagement delivers one production use case on one platform path. Additional use cases and domains are scoped separately. • The 12-week timeline assumes timely access to data sources, environments and stakeholders from Day 1. • Azure and platform consumption (Fabric capacity or Databricks compute, storage and Power BI licensing) is billed separately by Microsoft and is not included in the engagement fee. • The number and type of sources that can be onboarded depends on the source systems and connectors available. • This is a build and handoff engagement, not an ongoing managed service. Support after handoff is scoped separately. • Microsoft funding may be available for eligible customers. It is subject to program availability, eligibility and written Microsoft approval, and is not a commitment until approved.