Cloud Adoption and Data Warehousing Services

Build the data warehouse foundation for modern analytics with our enterprise cloud adoption services.

Limited scalability from aging on-prem systems?

Enabling cloud adoption with secure, high-performance architectures that migrate and modernize your data estate, providing elastic compute, near real-time analytics, and the agility needed for innovation.

Complex data warehousing across hybrid or multi-cloud?

We design cloud-native data warehouses and semantic layers that unify distributed data, streamline BI and AI workflows, enforce governance, and simplify analytics across on-prem, cloud, and SaaS environments.

Concerned about governed, cost-efficient cloud adoption?

Deliver structured cloud journeys with built-in governance, cost optimization, compliance controls, automated monitoring, and zero-downtime migration to minimize disruption to business operations.

Modernizing Cloud Adoption and Data Warehousing

Many enterprises are still tied to fragmented systems, legacy warehouses, and infrastructure that can't scale with data or business demand. Moving to the cloud is often slowed by hidden dependencies, security risks, unoptimized workloads, and the fear that the transition might disrupt operations or inflate costs.

From readiness and capacity planning to data modeling, DevOps enablement, and ongoing optimization, our services ensure your cloud platforms run faster, safer, and smarter.

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Redesigning Data Foundations for Cloud and Analytics

With LevelShift, organizations get more than a "lift and shift". We redesign data foundations to be cloud-native, governed, elastic, and built for end-to-end analytics across Fabric, Azure, and hybrid landscapes. We help you achieve:

Cloud-Native Data Architectures

Optimized for scalability, performance, and cost-efficiency with modern cloud-native design patterns and best practices.

Unified Data Models and Governed Warehouses

Support BI, advanced analytics, and AI workloads with consistent, governed data models across your entire data estate.

Flexible, Secure Landing Zones

Across Azure, Fabric, Synapse, Snowflake, and multi-cloud ecosystems with enterprise-grade security and compliance.

Our Cloud and Data Warehousing Services

Cloud Modernization Services Illustration

Adoption Strategy and Landing Zone Design

Establish a secure, enterprise-ready cloud landing zone with strategy, governance, networking, backup, and disaster recovery foundations for scalable, fully governed cloud adoption.

Cloud Data Warehouse Architecture Modernization

Design and deploy modern warehouse models on Azure, Fabric, Synapse, Snowflake, or hybrid environments, enabling unified data structures for BI, analytics, AI, and enterprise insights.

Data Migration to Cloud Warehouses

Move on-prem DWHs, Hadoop clusters, marts, and operational stores to cloud platforms with governed validation, reconciliation, role-based access controls, and zero-to-low downtime for uninterrupted operations.

Cloud-Native ETL/ELT and Ingestion Pipelines

Rebuild and automate pipelines in Fabric Data Factory, ADF, Dataflows, iPaaS, and event-driven architectures, accelerating analytics delivery and reducing time-to-insights with reusable components.

Security, Governance, and Cost Optimization

Embed Purview lineage, cataloging, policy controls, access roles, encryption, retention, and FinOps efficiency to ensure compliance, security, and cost-effective cloud operations.

Post-Adoption Optimization and Support

Drive performance tuning, cloud utilization reviews, data lifecycle management, automation, and COE enablement to continuously optimize resources and maximize business value.

As a Microsoft Solution and Fabric Featured Partner, LevelShift can help you secure ECIF funding and take advantage of Microsoft Azure Consumption Commitment (MACC) for your PoC and implementation.

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Our Cloud Adoption and Data Warehousing Approach

Assess workloads, data systems, risks, and total cost of ownership.

Architect cloud warehouses, integration patterns, and governance controls.

Deploy cloud platforms, pipelines, and storage architectures.

Validate workloads, reconcile data, optimize performance, and benchmark.

Scale adoption with BI, AI, semantic models, and usage insights.

Govern cloud operations with policies, monitoring, and continuous optimization.

Why LevelShift

Microsoft Solutions Partner — Infrastructure (Azure), Digital & App Innovation, Data & AI, and Business Applications
Microsoft Specialization in Data Analytics and Data Warehouse migration
Fast, secure cloud migrations powered by Perforce expertise.

Where are you in your Data Transformation Journey?

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Data Modernization Your Path to Data Transformation

Our Perspectives

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FAQs

Yes. We refactor pipelines for Fabric Data Factory, native pipelines, lakehouse ingestion, ADF, Dataflows, or iPaaS engines — establishing reusable patterns, lineage visibility, change tracking, and operational efficiency aligned to modern ELT standards.

We apply Purview-led classification, column-level encryption, conditional access, DLP, audit monitoring, and policy enforcement across pipelines, warehouses, datasets, event streams, dashboards, and external connectors to ensure governed landing zones.

Our FinOps frameworks measure compute consumption, cost-per-query, storage tiers, archive strategy, caching patterns, SKU decisions, and workload sizing — helping strike balance between performance, availability, and cost efficiency.

Yes. We run workload fit assessments, performance benchmarking, governance alignment checks, and cost modeling to determine optimal placement so you move only what makes long-term technical and financial sense.

We trace dependencies, reconcile source logic, validate measures, align security models, preserve semantic relationships, and run regression testing across Power BI, Fabric semantic models, or downstream tools.

Yes. Our cloud adoption frameworks include consumption optimization, performance tuning, archival strategy, and FinOps recommendations.

Partner with LevelShift to architect, migrate, and optimize enterprise data platforms.

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