Azure Synapse Consulting
Eliminate cloud waste and unlock high-velocity analytics.
From legacy friction to faster insights: Fuel AI with optimized data pipelines.
Accelerate performance
Gain lightning-fast insights and a high-performance data environment. Transform resource management into a seamless engine for growth and cost-effective scalability.
Modernize for Microsoft Fabric and AI
Transform your data warehouse into a high-velocity engine for innovation. Ensure your organization is fully equipped to power AI and real-time analytics.
Be confident with 24/7 DataOps
Free your team to focus on strategic growth while evolving your architecture to meet the demands of AI.
How we work with you
Audit your Azure Synapse environment and define a cost-effective path to Microsoft Fabric.
Evaluate your Azure Synapse environments—audit SQL pools, Spark notebooks, and ADF pipelines to identify technical debt and architectural bottlenecks. Define the most cost-effective path forward, whether that involves optimizing your current Synapse environment or planning a low-risk migration to Microsoft Fabric.
Align your Azure Synapse spend with actual workload demands.
Evaluate your data warehouse units (DWU) and workload patterns. Align compute power with actual demand and move sporadic queries to Serverless pools to see immediate value by cutting unnecessary cloud waste and stabilizing performance.
Prioritize critical analytics and harden data integration to boost performance.
Implement advanced resource governance to ensure high-priority executive dashboards receive dedicated compute power over background batch jobs. Resolve failing pipelines and optimize distribution keys to achieve up to 60% faster query performance and guarantee consistent, reliable data.
Establish governance to transform data into an enterprise-ready AI asset.
Receive 100% data coverage, including automated cataloging and sensitive data discovery. By configuring granular access controls, such as row-level security and dynamic data masking, the data environment becomes a secure, AI-ready asset that meets the most stringent enterprise compliance and privacy standards.
Be confident in your business data with continuous support and managed operations.
Establish 24/7 proactive monitoring of data links and integrated pipelines to guarantee a single source of truth. Ensure data remains reliable and accurate, and your infrastructure scales seamlessly to meet growing business demands.
Maximize your analytical power with a unified, high-velocity Azure Synapse ecosystems.
Move beyond the constraints of
legacy warehousing to an AI-ready architecture.
Shift from manual infrastructure management to high-performance automation.
IT services company saves $1.4M in annual Azure spend and 45% faster queries
Synapse optimization cuts costs, improves query performance, and enables Fabric migration readiness.
50%
Reduction in monthly spend
10x
Faster migration to Fabric
60%
Reduction in query latency
Frequently asked questions (FAQ) about Azure Synapse consulting services
We build security into every phase of the engagement. We configure Azure role-based access controls (RBAC) with least-privilege policies, add column- and row-level security (RLS) to dedicated SQL pools, and enable dynamic data masking for sensitive fields. We integrate Microsoft Purview from day one for data lineage, classification, and cataloguing across your Azure estate. For regulated industries, we align Synapse deployments with HIPAA, SOC 2, PCI DSS, and GDPR.
Yes. Pythian starts with a FinOps audit. We measure your data warehouse units (DWU) against actual workload demand and flag serverless SQL queries that scan more data than required. We automate pool pausing and shift unpredictable workloads to serverless SQL to cut scan volume. Pythian's engagements typically cut Azure data spend by up to 35%, and in some cases, monthly bills drop by 50% after right-sizing.
The right answer depends on your current landscape. Microsoft has moved its primary development investment to Fabric, but many Synapse users have complex pipelines that aren't ready for a "lift and shift." Pythian’s readiness assessment identifies what can migrate automatically and what needs a rebuild, providing a "stay-and-optimize" vs. "migrate" recommendation based on your risk tolerance.
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