Case studies forthcoming
Approved summaries will cover the business context, architecture decisions, and delivery scope.
Client identities and project details remain confidential until approved for publication.
Enterprise data.
Built on Microsoft Fabric.
DAELAS helps organizations modernize data platforms, deliver trusted analytics, and prepare for AI. We combine Microsoft Fabric specialization with Databricks expertise, from architecture and migration to implementation and support.
Team experience within Microsoft's Power BI and Fabric organizations.
Plan your next initiative.
Focused engagements for modernization, adoption, and AI.
Modernize your data platform.
Evaluate your current architecture, identify migration dependencies, and plan a phased transition to Microsoft Fabric. Address performance, access, and operational requirements before delivery begins.
Establish your Fabric environment.
Define the architecture for your first workloads, from OneLake and data integration to semantic models and reporting. Align workspace design, capacity, and governance with how your team will operate.
Prepare your data for AI.
Assess whether your data, semantic models, and access policies support the intended AI use cases. Define the preparation, evaluation, and oversight required for a controlled rollout.
Platform expertise
- Microsoft FabricOneLake · Data Factory · Power BI
- DatabricksLakehouse · Spark · Delta Lake
Expertise across
your data estate.
We design the foundations, models, and controls that make data useful across your organization. Engagements combine strategic advisory with hands-on engineering.
Platform strategy & architecture
Establish a practical roadmap for Microsoft Fabric adoption or migration. Assess existing workloads, define the target architecture, and plan capacity, governance, and phased delivery.
Platform assessment · Architecture · Capacity planning · Migration
Data engineering
Design and implement ingestion, transformation, and orchestration with Data Factory in Fabric, Apache Spark, and OneLake. Develop lakehouse and warehouse solutions, including Databricks integration where required.
Data integration · Lakehouse architecture · Data warehousing
Analytics & business intelligence
Create consistent business metrics and reporting with Power BI. Build and optimize semantic models, define access policies, and enable governed self-service analytics across your organization.
Power BI · Semantic modeling · Performance · Self-service BI
Data governance
Define how data is owned, discovered, accessed, and maintained. Establish stewardship, cataloging, lineage, and data quality practices, supported by platform controls and clear operating responsibilities.
Data ownership · Cataloging · Lineage · Access management
AI readiness & enablement
Assess use cases, data quality, and permissions before introducing AI. Prepare semantic models and business context for Copilot and Fabric data agents, with evaluation criteria and human oversight.
Readiness assessment · Semantic models · Evaluation · Adoption
From strategy
to production.
Clear scope, defined deliverables, and knowledge transfer at each stage. We work with your team through implementation, adoption, and ongoing operations.
Assess
Prioritize business use cases, review the current data estate, and agree on scope and success criteria.
Architect
Define the platform architecture, governance controls, and delivery plan around technical and operational requirements.
Implement
Build, test, and deploy in agreed phases, with validation and knowledge transfer throughout delivery.
Operate
Support adoption, establish operating practices, and refine performance as workloads and business needs evolve.
Microsoft experience.
Independent perspective.
Our team has worked within Microsoft's Power BI and Fabric teams, bringing product-level knowledge to enterprise architecture, implementation, and governance.
Technical credentials
Certifications across Microsoft Fabric, Power BI, Databricks, and AI technologies complement hands-on architecture and governance experience.
Independent advice
We recommend architectures based on your requirements, existing investments, and operating constraints. Fabric is our specialization; Databricks expertise informs integration and workload decisions.
DAELAS is an independent consultancy. Previous team experience does not imply Microsoft affiliation or endorsement.
Selected engagements.
Our enterprise work includes data architecture and governance. Case studies will be published following client review and approval.
Discuss your
data priorities.
Share your objectives, current environment, and delivery requirements. We will follow up by email to discuss scope and next steps.
contact@daelas.comBased in Redmond.