In today’s data-first landscape, organizations are struggling to unify disparate data sources, drive meaningful insights, and operationalize advanced analytics—all while managing cost, scalability, and security. Azure Synapse Analytics provides a powerful platform to meet these challenges, but implementing it effectively requires deep expertise. That’s where we come in. As Microsoft shifts focus toward Fabric, Azure Synapse remains a critical, supported enterprise platform.

Are your current data systems limiting your ability to generate timely, actionable insights?
Do you have difficulty integrating siloed data across sources and departments?
Are you exploring Azure Synapse but unsure how to implement it efficiently and securely?

MAQ Software offers a comprehensive full-engagement Synapse implementation—guiding your business from strategy to deployment with tailored solutions that address your real-world data challenges.

Costs and timelines will vary based on the size of your existing Synapse environment, number of data sources, and complexity of workloads.

Key Benefits

Accelerated Synapse adoption with reduced risk and time
Unified data and analytics environment across your sources
Optimized performance, scalability, and cost-efficiency
Enterprise-grade security, governance, and compliance
Hands-on training and knowledge transfer for your teams
Built-in flexibility to extend to Microsoft Fabric in the future

Agenda

Discovery & Requirements Analysis

Assess existing data sources, platforms, and reporting stack.
Identify key analytics use cases, business KPIs, and compliance needs.
Evaluate current architecture and pain points in data flow or reporting.
Document functional and non-functional requirements for Synapse adoption.

Architecture Design & Planning

Design Synapse architecture with SQL Pools, Spark Pools, and ADLS Gen2 zoning.
Define ETL/ELT patterns using Synapse Pipelines or Azure Data Factory.
Establish security and access control using RBAC, Private Endpoints, and encryption.
Plan CI/CD strategy and DevOps integration with Git and Azure DevOps.

Implementation & Integration

Provision Synapse workspace and configure pipelines for data ingestion.
Build transformation logic using SQL, Notebooks, and Spark.
Create curated datasets, views, and data models for consumption.
Integrate with Power BI, Azure ML, and other downstream systems.

Advanced Analytics & Performance Optimization

Develop interactive Power BI dashboards connected to Synapse.
Enable predictive models using Synapse ML or Azure Machine Learning.
Optimize performance using partitioning, materialized views, and caching.
Monitor query performance and resource utilization across workloads.

Training, Governance & Handoff

Deliver training sessions for engineering, analytics, and admin teams.
Provide operational runbooks, architecture documents, and SOPs.
Set up monitoring, alerting, and audit logging with Azure Monitor.
Define governance policies for access control, retention, and lineage.

Deliverables

End-to-end deployed Azure Synapse solution
Data pipelines and integrated source systems
Power BI dashboards connected to Synapse
Technical architecture documentation
Security and governance framework
Workshop sessions for data and analytics teams

Who Should Attend

Chief Data Officers & Data Executives
IT Managers & Solution Architects
Data Engineers & Analysts
Business Intelligence Teams

Why Partner with MAQ Software

MAQ Software brings deep expertise in designing and deploying scalable data platforms like Azure Synapse and Microsoft Fabric. From data ingestion and transformation to warehousing and Power BI integration, we’ve delivered complex, high-performance Synapse environments for global enterprises across industries. Our expertise ensures optimized architecture, secure data pipelines, and scalable analytics—delivered through an agile, low-disruption engagement model.

Get Started Today

Unlock the full potential of your data with a unified Azure Synapse Analytics implementation. Contact us at CustomerSuccess@MAQSoftware.com to get started on your journey toward data-driven decision-making.

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