Accelerate your digital transformation with scalable, secure, and high-performance cloud solutions built on Microsoft Azure. Edvenswa helps organizations design, develop, and manage cloud-native applications and infrastructure that drive agility, innovation, and cost efficiency.
With deep expertise in cloud engineering and DevOps, we enable businesses to seamlessly migrate, modernize, and optimize their workloads while ensuring reliability, security, and compliance at every stage.

We assess your current IT landscape and define a cloud adoption roadmap aligned with your business goals, ensuring optimal ROI and scalability.
Assess your current IT landscape and define a cloud adoption roadmap
Align cloud strategy with business goals for optimal ROI
Plan for scalability, cost efficiency, and future growth
Build cloud-native applications using microservices, serverless architecture, and containerization to improve performance and accelerate time-to-market.
Build cloud-native applications using microservices architecture
Serverless computing to reduce overhead and improve scalability
Containerization with Azure Kubernetes Service (AKS)
Seamlessly migrate legacy applications and infrastructure to Azure while modernizing them for improved efficiency, resilience, and scalability.
Migrate legacy applications and infrastructure to Azure
Modernize workloads for improved efficiency and resilience
Minimize downtime and risk during migration
Automate development and deployment pipelines using Azure DevOps, enabling faster releases, improved collaboration, and continuous innovation.
Automate development and deployment pipelines with Azure DevOps
Enable faster releases and continuous delivery
Improve team collaboration and reduce time-to-market
Design, deploy, and manage secure and scalable cloud environments with proactive monitoring, performance optimization, and cost control.
Design and deploy secure, scalable cloud environments
Proactive monitoring, performance optimization, and cost control
24/7 infrastructure management and support
Implement robust cloud security frameworks, identity management, and compliance standards to protect your data and applications.
Implement robust cloud security frameworks and policies
Identity and access management across Azure services
Ensure compliance with industry regulations and standards
Azure App Services, AKS, and Azure Functions
Azure Data Services and analytics platforms
End-to-end Azure solution architecture
From initial strategy and advisory
Through implementation and migration
To ongoing managed services and optimization
Automated CI/CD pipelines for faster delivery
Infrastructure as Code for consistency and reliability
Continuous monitoring and improvement
Right-sizing resources to eliminate waste
Automated scaling to match demand
Transparent cost reporting and governance
Enterprise-grade cloud solutions delivered
Experience across healthcare, finance, retail, and more
Scalable architectures built for real-world workloads
Microsoft Fabric is an analytics platform that supports end-to-end data workflows, including data ingestion, transformation, real-time stream processing, analytics, and reporting. It provides integrated experiences such as Data Engineering, Data Factory, Data Science, Real-Time Intelligence, Data Warehouse, and Databases, all operating over a shared compute and storage model.
Delivered as a software-as-a-service (SaaS) platform, Fabric uses OneLake as a centralized, logical data lake for storing and accessing data across all workloads. The OneLake Catalog provides a centralized experience for discovering, exploring, and governing data and analytics artifacts across the tenant.
Edvenswa leverages Microsoft Fabric to help organizations break down data silos, unify their analytics estate, and accelerate insight-to-action, all without managing complex underlying infrastructure. AI capabilities are built into the platform to assist with data preparation, analysis, and development tasks, reducing the need for manual service integration.
OneLake is the foundation for all Fabric workloads, serving as one store for all organizational data with a single file-system namespace spanning users, regions, and clouds.
Single SaaS data lake built on Azure Data Lake Storage Gen2
Eliminates data silos with unified storage across all workloads and no duplication
Zero-copy Shortcuts to ADLS, Amazon S3, and Google Cloud Storage
Cross-tenant data sharing with enforced governance via Microsoft Purview
No Azure account required and no RBAC, resource groups, or regions to manage
Power BI gives business owners fast, effective access to all data in Fabric, enabling better data-driven decisions.
Connect to data sources and create interactive charts and dashboards
Share insights across the organization instantly
Natively integrated with all Fabric workloads
Shift from descriptive to predictive analytics with ML integration
Data Factory provides seamless data ingestion and transformation across your entire data estate.
Modern data integration with 200+ native connectors
Ingest, prepare, and transform data from any on-premises or cloud source
Powered by the simplicity of Power Query
Orchestrate notebooks and Spark jobs with Fabric Spark integration
Extract insights from streaming data in real time, covering ingestion, transformation, visualization, and automated action.
Analyze IoT sensor data, app logs, and website clickstreams as they arrive
Real-Time hub providing a unified SaaS experience for all streaming data across the tenant
Supports Azure Event Hubs, IoT Hub, Cosmos DB CDC, PostgreSQL CDC, and more
No-code connectors, KQL Database tables, and workspace/OneLake event streams
Engineer vast data volumes and build production-ready ML models, all within a single unified Fabric environment.
Apache Spark for processing and analyzing large-scale datasets
Notebooks and tools for writing and scheduling data transformation jobs
Build, deploy, and operationalize ML models directly within Fabric
Azure Machine Learning integration for experiment tracking and model registry
High-performance warehousing and database capabilities with seamless continuous mirroring from your existing data estate.
Industry-leading SQL performance with independent compute and storage scaling
Natively stores data in open Delta Lake format
Mirror data from Azure SQL, Cosmos DB, Snowflake, Databricks, and Fabric SQL
Developer-friendly transactional database built into Fabric
Fabric IQ is a new workload that brings consistent business meaning and intelligent automation across all of Fabric.
Unifies business semantics across data, models, and systems
Includes ontology, plan, Fabric Graph, data agent, and operations agent
Powers consistent decisions and reusable metrics across the Fabric platform
Context-aware automation through semantic models
Fabric Industry Solutions deliver tailored analytics and data management capabilities for the specific needs of your sector.
Industry-specific data solutions for healthcare, finance, retail, and more
Addresses unique industry data management and analytics challenges
Accelerates decision-making with purpose-built data models
Built on the same unified Fabric and OneLake foundation
Traditional analytics architectures require stitching together multiple services: a data lake here, a warehouse there, separate BI tools and ML platforms. Microsoft Fabric collapses all of this into a single SaaS experience. Every workload, including Data Engineering, Data Factory, Data Science, Real-Time Intelligence, Data Warehouse, Power BI, and Fabric IQ, shares the same OneLake storage and compute layer, eliminating data movement, reducing cost, and accelerating delivery.

Tailored tools for data engineers, scientists, analysts, and DBAs, each optimized for their tasks yet combinable into end-to-end solutions.
Built-in Copilot assists with authoring queries, pipelines, and code, generating summaries and insights across all workloads.
Analyze and consume Fabric data directly in Excel and share through Microsoft Teams, with no exports or data movement needed.
Microsoft Purview is built into Fabric for consistent security, sensitivity labels, compliance controls, and auditing enforced across tenant boundaries.
Instantly mount existing ADLS, Amazon S3, or Google Cloud Storage without ETL or data migration, with intelligent caching to reduce egress costs.
Integrate prebuilt models and ML tooling for machine learning and AI scenarios, including model development, deployment, and inference.
Centralized hub to find, explore, secure, and use Fabric items and govern the data you own across workspaces and domains.
Interop with OneLake, build on Fabric, or create fully custom Fabric workloads across three integration tiers for independent software vendors.
Share live, governed datasets with external organizations across Microsoft Entra tenant boundaries with no data copies and governance enforced at source.
OneLake is built into the Fabric platform with no upfront provisioning and no Azure account required. Each tenant gets one unified OneLake with a single file-system namespace that spans users, regions, and clouds. Data is organized into workspaces (like folders) and lakehouses (collections of files, folders, and tables that act as a database over a data lake), making collaboration as natural as using OneDrive in Microsoft Office.
All Fabric compute experiences, including Data Engineering, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence, come preconfigured with OneLake as their native store with no extra setup. The Shortcut feature enables zero-copy access to external storage in Azure Data Lake Storage, Amazon S3, and Google Cloud Storage, bringing data closer to compute with intelligent caching that reduces egress costs.
OneLake Architecture

Data Hierarchy within a Tenant

The Real-Time hub is a foundational, tenant-wide location for data in motion. It provides a unified SaaS experience where users can discover, ingest, manage, and react to streaming data from every source, all in one place. It supports both streams and KQL Database tables.
General-purpose streaming data ingested from any application or pipeline.
Azure Event Hubs, IoT Hub, SQL Database CDC, Cosmos DB CDC, Azure Data Explorer, PostgreSQL CDC.
Workspace item events, OneLake events, and Job events generated within the Fabric platform.
Azure Blob Storage events and external events from Microsoft 365 or other cloud services.
Microsoft Fabric is designed to support a data mesh, a decentralized approach where individual business domains own and manage their own data as a product. Every developer and business unit creates their own workspaces in OneLake, ingests data into lakehouses, and starts processing, analyzing, and collaborating, while centralized governance via Microsoft Purview ensures consistent security and compliance across the entire organization.
Our cloud capabilities complement and connect with our broader digital transformation and IT services offerings.

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