Unify fragmented data lakes, Spark notebooks, SQL data warehouses, real-time IoT eventstreams, and Direct Lake Power BI into one governed Microsoft Fabric foundation engineered for high-volume enterprise workloads.
Most enterprise data architectures struggle not from a lack of tooling, but from architectural fragmentation: ingestion in ADF, storage in ADLS Gen2, transformation in Databricks or Synapse, and reporting in Power BI—each with duplicate copies, separate security models, and runaway compute bills.
Microsoft Fabric unifies this complete lifecycle into OneLake. DAVIZ Solutions architects your Fabric environment from tenant setup and domain boundaries down to Delta optimization, Direct Lake semantic modeling, and automated Purview data governance.
Connect AWS S3, Google Cloud Storage, Azure Data Lake, and Dataverse into one virtual data mesh without data movement, custom replication pipelines, or egress fees.
Eliminate import data latency. Power BI queries Parquet files directly from OneLake storage with VertiPaq-level memory speed, bypassing 48-time daily refresh limits.
Define Row-Level Security, sensitivity labels, column masking, and access rights once at the OneLake level, enforced consistently across Spark, SQL, and Power BI.
Data engineers code in PySpark notebooks, SQL specialists write T-SQL queries in the Warehouse, and business analysts build Power BI dashboards—all in one SaaS interface.
Consolidate disparate compute budgets into single F-SKU capacity pools with burstable smoothing, pause/resume automation, and tenant-wide workload isolation.
We configure each Fabric workload to match your operational throughput, preventing over-provisioning while maintaining sub-second query responsiveness across every domain.
OneLake delivers a single, unified, logical data lake for the entire organization. Built on top of Azure Data Lake Storage (ADLS) Gen2, OneLake holds all data in open Delta Lake Parquet format. Every developer, application, and business user points to one shared version of truth without creating fragmented analytical islands.
Combine the cloud-scale ingestion power of Azure Data Factory with the intuitive data-prep interface of Power Query Dataflow Gen2. We build 150+ native connectors to ERPs (SAP, Oracle, Dynamics 365), CRMs (Salesforce, HubSpot), on-premises SQL servers, and web REST APIs with automated retry, alerting, and CI/CD promotion.
Empower your data engineering teams with instant-on Apache Spark pools that start in seconds. Our certified engineers design medallion architecture (Bronze Raw, Silver Cleansed, Gold Business Aggregates) using PySpark, Delta V-Order optimization, automated liquid clustering, and Git-integrated notebook collaboration.
Harness standard ACID-compliant T-SQL against OneLake without needing dedicated database clusters. Fabric Warehouse automatically scales compute independently from data storage. Business intelligence teams write familiar stored procedures, views, cross-database queries, and row-level security policies directly on open Delta tables.
Process millions of telemetry events, IoT sensor streams, logistics pings, and transactional logs every second using Eventstreams and KQL (Kusto Query Language) databases. Trigger automated actions via Fabric Reflex (Data Activator) whenever KPI thresholds are breached—before operational problems turn into business losses.
Direct Lake is the groundbreaking connection mode exclusive to Microsoft Fabric. It loads Parquet files directly from OneLake into the Power BI VertiPaq engine in memory—providing the real-time freshness of DirectQuery with the blazingly fast calculation performance of Import mode, completely eliminating extract pipeline overhead.
See how unifying storage, compute, and governance into Microsoft Fabric fundamentally alters development speed, data freshness, and maintenance overhead.
| Architecture Dimension | Legacy Disjointed Stack (ADF + Databricks + Synapse + BI) | Modern Microsoft Fabric (OneLake Lakehouse) |
|---|---|---|
| Data Storage | ✕ Siloed — Multiple proprietary copies across DBs, blob storage, and dataset caches | ✓ OneLake — Single copy in open Delta Lake Parquet format accessed by all tools |
| Power BI Connection | ✕ Scheduled Refresh — Data imported into memory; max 48 refreshes/day with latency | ✓ Direct Lake — Direct in-memory VertiPaq reads from Delta files with live freshness |
| Security & RLS | ✕ Duplicated — Separate ACLs in data lake, SQL database, and Power BI service | ✓ Unified Purview — Single security boundary enforced across Spark, T-SQL, and BI |
| Compute Provisioning | ✕ Fragmentation — Over-provisioned dedicated compute pools sitting idle | ✓ Shared F-SKU — Dynamic workload smoothing across ETL, Spark, SQL, and Dashboards |
| Multi-Cloud Access | ✕ Expensive Replication — Costly pipelines and egress charges copying AWS S3 / GCP | ✓ OneLake Shortcuts — Virtual pointer integration without copying bytes |
| AI & Copilot Integration | ✕ Complex Setup — Custom vector pipelines and third-party connector configuration | ✓ Native Fabric Copilot — Turn-key AI assistance for DAX, SQL, notebooks, and exploration |
A proven, risk-mitigated delivery path that guarantees business continuity, zero data loss, and rapid time-to-value.
We evaluate your current data estate—Azure Synapse, ADF, Databricks, SQL databases, or legacy on-prem servers. We determine optimal Fabric F-SKU capacity sizing, domain architectures, and construct a risk-prioritized roadmap.
Microsoft Fabric
Power BI
Microsoft Azure
S/4HANA
Fusion Cloud
Salesforce
Snowflake
Databricks
Dynamics 365From scoping your initial tenant to turnkey lakehouse migrations and 24/7 capacity FinOps.
Audit your current estate and compute needs.
Build production-grade Fabric lakehouses.
Continuous governance and cost optimization.
Schedule a confidential 45-minute architectural review with our UAE-based Microsoft Fabric certified specialists. We will analyze your workloads, estimate F-SKU capacity, and present a clear delivery roadmap.
A Fabric Lakehouse stores data in open Delta Lake Parquet format and is optimized for file-based data engineering using Apache Spark, Python, and Scala, along with ad-hoc SQL querying. A Fabric Warehouse provides a full enterprise relational database experience with standard T-SQL, ACID transactions, complex stored procedures, and fine-grained column/row permissions. In Fabric, both write to OneLake, meaning Spark and SQL share the exact same underlying data without ETL replication.
Import mode copies data into Power BI memory and requires scheduled refreshes (capped at 48x/day in Premium/Fabric). DirectQuery passes SQL queries directly to the source database with zero data copying, but is frequently slow and compute-heavy. Direct Lake combines the best of both: it reads Parquet data files directly from OneLake into the VertiPaq memory cache at lightning speed, delivering real-time freshness without running expensive SQL queries or scheduling dataset refreshes.
We execute a risk-mitigated phased migration. Because Azure Data Factory pipelines share the same underlying JSON structure as Fabric Data Factory, existing pipelines and Dataflows can be ported or recreated rapidly. Azure Data Lake Storage (ADLS) containers can be linked into OneLake immediately via Shortcuts without moving a single gigabyte, allowing you to run new Fabric workloads side-by-side with your existing estate during transition.
Fabric uses a unified capacity model (F2 through F2048). Rather than paying separately for ADF integration, Databricks compute, Synapse pools, and Power BI licenses, all workloads draw compute units (CUs) from one shared F-SKU. Fabric features automatic smoothing, which averages burst compute spikes over 24 hours to prevent throttling, and capacities can be paused during non-business hours to minimize cloud spend.
Yes. Fabric OneLake Shortcuts natively connect to Amazon Web Services (AWS) S3 buckets, Google Cloud Storage (GCS), and external Azure Data Lake accounts. Shortcuts appear as virtual Delta tables within your Fabric Lakehouse, allowing your analytics teams to query and join cross-cloud datasets in seconds without building custom extraction pipelines or incurring heavy egress fees.
Yes. DAVIZ Solutions is headquartered in the United Arab Emirates. We deliver both on-site executive discovery sessions, architecture design sprints, and security workshops across Dubai, Abu Dhabi, and Sharjah, backed by flexible hybrid and remote engineering delivery options across the GCC.
