Dynapt helps you leverage OneLake and Fabric's integrated services to break down data silos, reduce complexity, and create a single source of truth for all your analytics and AI needs.
With Fabric's unified platform and integrated Azure ML capabilities, our experts guide you in rapidly building, training, and deploying AI models, turning data into predictive and generative power faster.
We enable self-service analytics with Power BI and Data Activator in Fabric, ensuring business users have timely, actionable insights to optimize processes, personalize experiences, and drive growth.
Our Microsoft-certified experts tailor Fabric's capabilities to solve your unique business challenges and achieve your strategic data objectives.
Organizations struggle with fragmented data landscapes, leading to inconsistent insights, slow reporting, and high operational costs for managing disparate analytics tools.
Dynapt designs and deploys a centralized analytics platform using Microsoft Fabric, integrating your data sources into OneLake, setting up Synapse Data Warehousing and Data Engineering workloads, and enabling enterprise-wide reporting with Power BI.
We start with a comprehensive assessment of your data sources and analytics needs. Our team configures OneLake shortcuts, data pipelines in Data Factory, optimizes compute capacities, and establishes robust governance and security using Purview integration within Fabric.
Up to 40% reduction in data preparation time
30% faster time-to-insight for business users
Consolidated TCO by minimizing tool sprawl
Fabric Data Flow
Unified Analytics Example
Data Engineer:
"Fabric shows all our sales, marketing, and operational data now in OneLake."
Business Analyst:
"Great! I can build cross-functional Power BI reports in minutes, not days."
IT Manager:
"And our infrastructure costs are more predictable with Fabric capacities."
CDO:
"This unified view is finally giving us the strategic insights we needed."
AI Model Development in Fabric
Data Science Workflow
Data Scientist:
"With Fabric, I can access curated data and train models directly in Synapse Data Science notebooks."
ML Engineer:
"And pushing models to Azure ML for inferencing is streamlined."
Business Stakeholder:
"We're seeing results from our AI investments much faster now."
Many AI initiatives fail or stall due to poor data quality, lack of scalable data preparation, and difficulty integrating ML models with business processes.
Dynapt helps you build an AI-ready data foundation using Microsoft Fabric. We implement robust data engineering pipelines, curate high-quality datasets in OneLake, and seamlessly integrate Synapse Data Science notebooks with Azure Machine Learning for scalable model development and operationalization.
We leverage Data Factory for data ingestion and transformation, Synapse Data Engineering for Spark-based processing, and establish MLOps best practices. Copilot in Fabric is utilized to accelerate data science tasks and code generation, ensuring rapid iteration.
Accelerate AI model development lifecycle by up to 50%
Improve data quality and reliability for AI applications
Enable scalable deployment of machine learning models
Businesses miss critical opportunities and fail to mitigate risks effectively because they cannot process and act on streaming data or critical events in real-time.
Dynapt implements solutions using Fabric's Synapse Real-Time Analytics (KQL databases) and Data Activator. We help you ingest, analyze, and visualize streaming data (e.g., IoT, logs, transactions) and configure automated actions or alerts based on defined patterns and thresholds.
We configure Eventstream for real-time data ingestion, develop KQL queries for complex event processing, build real-time Power BI dashboards, and design Data Activator triggers to integrate with downstream systems (e.g., Teams notifications, API calls, Power Automate flows).
Reduce incident response times significantly
Enable proactive operational monitoring and alerting
Unlock new capabilities like real-time personalization or fraud detection
Real-Time Event Monitoring
Data Activator Scenario
System Alert:
"Anomaly detected in sensor data stream - Temperature threshold exceeded!"
Fabric Data Activator:
"Triggering automated alert to maintenance team via Teams."
Operations Manager:
"Received alert instantly. We can address this before it becomes a major issue."