Data & Analytics on Azure
Turn your data into value: modern analytics platform, industrialized AI, and mastered governance across Microsoft Azure, Fabric, and Power BI.
From strategy to production, Dynaas supports you to deliver quickly, sustainably and with confidence.
Building a reliable data platform: architecture, security, governance and performance
Accelerate analytics: Microsoft Fabric, Power BI, SQL, Cosmos DB
Industrialize AI: ML/GenAI, MLOps, monitoring and adoption
Your business needs Dynaas if:
Your data is scattered (ERP/CRM/files) and difficult to use
Reporting is slow/unreliable and you lack single source of truth.
You want to move to Fabric, but without a clear path (security, cost, governance)
You have to manage compliance: access, cataloguing, lineage, quality.
Your teams waste time on manual tasks (pipelines, refresh, corrections).
Your AI models don't go into production (no MLOps, no monitoring).
Our support
We help you turn your data into trusted, decisions at scale across the Microsoft ecosystem.
Data Platform & Analytics
A modern data platform, ready for BI at scale
We set up a complete analytical chain on Azure and Microsoft Fabric: ingestion → storage → transformation → BI, with quality and performance.
Our expertise:
Architecture & platform (Fabric / Azure)
Lakehouse / Warehouse, architecture choices, standards (naming, zones, environments), segmentation and best practices.
Ingestion & orchestration (Data Factory / Fabric Data Factory)
ETL/ELT, connectors, scheduling, error handling, recovery, automation of refreshes and processing.
Data engineering & transformations (Fabric / Databricks),
layer modeling (raw/curated), transformations, job optimization, performance and scalability.
Analytical modeling & BI (Power BI)
semantic model, measurements, performance optimization, refresh strategy, report and dataset governance.
Quality, reliability & operation
quality rules, controls, alerting, documentation, runbooks, supervision and continuous improvement.
Analytics AI & Data Automation
From data to industrialized, production-based and governed AI
We use AI to improve the data chain: automate certain processing, improve quality, and accelerate analysis — without deploying a separate AI platform.
Our expertise:
AI use cases oriented towards analytics
, forecasting, anomaly detection, scoring, classification — only on concrete data/BI needs.
Preparation & feature engineering
, selection of variables, processing of missing values, normalization, creation of features and datasets ready for scoring.
“Light” industrialization in the data
batch scoring chain integrated into pipelines (Fabric/Databricks), versioning, automation and integration in BI reporting.
Monitoring & reliability (Azure Monitor)
monitoring of processing and scoring, alerts, logs, monitoring of simple drifts (quality/performance), diagnostics.
Transfer & adoption
documentation, best practices, training of teams (data/BI), minimal governance to maintain over time.
Real-world use cases
Executive Steering
Reliable KPIs, semantic model, Governed Power BI
AI in production
Monitored models, retraining, full MLOps
Forecasting & Optimization
Demand forecasting, anomalies, recommandations
BI Modernization
Migration to Fabric + standardization of datasets
Real-time data
Events, streaming, operational alerting
Become autonomous on Data & Analytics on Azure
Dynaas combines project support and certification training to empower your teams on Azure Data, Microsoft Fabric, Databricks, SQL and Power BI.
Azure Data & Analytics technical certifications:
To design, secure and industrialize a data platform on Azure: Fabric, SQL, pipelines, BI and best operating practices.
DP-900
DP-300, DP-600, DP-700, DP-100
DP-420
Azure Cosmos DB Developer Specialty
End-user training:
Data literacy (culture data)
Understanding data, quality, bias, indicators, definitions, and "source of truth".
KPI Design
Workshop
Define the right indicators, avoid vanity metrics, structure a useful dashboard.
Self-Service Analytics Governance
When and how to do self-service without chaos: roles, rules, responsibilities.
Training sessions led by certified MCT trainers
- Explore training catalog