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Data Modernization
From legacy systems to modern cloud-native platforms.
Ascadis specializes in transforming outdated systems into cutting-edge architectures.
Migrate, automate, integrate, and scale — all with one.
We Modernizing legacy systems, building scalable cloud pipelines, and enabling real-time insights for your business.
Secure Architecture
Enterprise-grade data pipelines with strong governance and compliance.
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Unified governance with Azure Purview + Fabric OneLake security.
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Secure Databricks Lakehouse with Unity Catalog & RBAC.
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End-to-end data protection using Key Vault + Private Endpoints + VNET.
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Full auditability via Azure Monitor, Fabric activity logs & log analytics.
Scalable
Data Solutions
Built to grow with your business using modern cloud-native tools.
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Auto-scaling Databricks Photon and job clusters for heavy workloads.
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High-performing Fabric Lakehouse (Delta + OneLake) for unified storage.
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Seamless orchestration using ADF pipelines + Fabric Data Factory.
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Multi-layer architecture (Ingest → Lakehouse → Warehouse → Power BI).
Real-Time Insights
Faster access to your business metrics for smarter decision-making.
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Event-driven pipelines using Event Hub + DLT + Structured Streaming.
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Fabric Real-Time Intelligence for operational dashboards.
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Millisecond processing using Databricks stream processing jobs.
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Real-time visuals through Direct Lake + Power BI.
Cost-Optimized Systems
Reduce cloud spend with efficient pipelines and smart automation.
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Job clusters + Spot VMs reduce Databricks cost by up to 40%.
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Fabric Direct Lake eliminates data duplication & refresh cost.
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Delta compression, partitioning & Z-ordering reduce storage spend.
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Auto-pause, auto-scale & pipeline optimization for best cost-performance.
Industries we Serve
Partnering with businesses in diverse sectors to unlock new avenues for growth and innovation.
Manufacturing -
Production planning, supply chain optimization, and real-time quality analytics for efficient operations.
Our Process
01
Requirement Gathering
We understand the business flow, data needs, and KPIs.
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Identify data sources & schemas
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Capture business rules & transformations
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Define KPIs and output formats
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Validate requirements with stakeholders
04
Testing & Validation
We ensure accuracy, reliability, and performance.
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Unit testing for each pipeline
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DQ checks: completeness, accuracy, schema validation
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UAT with business teams
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Load & performance testing
02
Sprint Planning
We convert requirements into clear, actionable sprints.
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Create sprint backlog & prioritize tasks
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Estimate effort and assign owners
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Plan for DEV → SIT → PROD
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Define acceptance criteria
05
Production Deployment
We deploy stable code using CI/CD automation.
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Azure DevOps CI/CD pipelines
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Job cluster creation & autoscaling setup
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Scheduling daily/real-time triggers
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Publish Power BI / Fabric models to PROD
03
Development
We build scalable pipelines using modern cloud-native tools.
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ADF pipelines for ingestion & orchestration
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Databricks notebooks for ETL/ELT
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Delta Lake layers (Bronze → Silver → Gold)
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Fabric Lakehouse & Warehouse setup
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Git integration with branching strategy
06
Monitoring, Alerts & Production Support
We maintain smooth operations with automated alerts.
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Automated email alerts for failures
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Databricks job alerts
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ADF pipeline alerts via Logic Apps
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Daily monitoring & cost optimization
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Monthly enhancements & CR support
Explore DataShift™
DataShift™ is a high-performance migration frameworkdesigned to transition data from legacy environments to modern cloud-native architectures. It automates extraction, transformation, validation, and loading to ensure accuracy, consistency, and zero disruption to your business operations.
