Azure Synapse Consulting That Unifies Your Entire Data Estate
We deliver end-to-end Azure Synapse consulting for mid-market and enterprise teams - from workspace architecture and Dedicated SQL Pool setup to DataOps pipeline engineering, legacy warehouse migration, and Power BI integration. Fully production-ready, documented, and handed over to your team.
An Azure Synapse Implementation That Unifies Analytics, Not Just Storage
Most Azure Synapse Analytics projects stop at provisioning a workspace and wiring up a few pipelines. What enterprises actually need is a unified analytics platform - Dedicated SQL Pools sized correctly, Serverless SQL for cost-efficient exploration, Spark pools for heavy transformation, and a DataOps pipeline that keeps everything current and trustworthy.
Our engineers hold Microsoft Azure certifications and have delivered Synapse environments migrating off SQL Server, SSIS, and on-premise SSAS cubes for clients in financial services, manufacturing, retail, and healthcare across the US, UK, and Australia.
Every engagement closes with a production environment your internal team owns fully - with runbooks, Azure DevOps CI/CD pipelines, and architecture documentation that doesn't lock you into ongoing support from us.
Six Core Components of Every Azure Synapse Engagement
From workspace architecture to DataOps pipelines and Power BI - everything needed to run Synapse in production.
We design your Azure Synapse workspace from first principles -Dedicated vs Serverless SQL Pool strategy, Spark pool configuration, Data Lake Gen2 zone layout (bronze/silver/gold), linked services, and network security boundaries aligned to your compliance requirements.
We build your ADF and Synapse pipeline estate using parameterised, reusable patterns - ingesting from SQL Server, Dynamics 365, Salesforce, REST APIs, flat files, and event streams into your Data Lake with proper error handling, retry logic, and monitoring.
We build your transformation logic using PySpark notebooks for large-scale processing and T-SQL stored procedures for Dedicated Pool workloads - applying proper partitioning, distribution strategies, and materialisation patterns to keep query performance fast and costs low.
We implement a full DataOps practice around your Synapse estate - Git-based source control for all pipeline and notebook assets, Azure DevOps CI/CD for automated deployment across dev/staging/prod, and environment promotion gates that prevent untested code reaching production.
We migrate your historical data from SQL Server DW, SSIS packages, or on-premise SSAS cubes into Synapse with a full data parity validation framework - comparing row counts, aggregates, and key business metrics before any reporting workload is switched to Synapse.
We connect Power BI to Synapse using the right connection mode for each report - DirectQuery for real-time dashboards, Import for high-performance summaries - and configure Azure Purview for data cataloguing, lineage, and classification across your entire analytics estate.
Azure Synapse Consulting: Four Phases to Production
A structured delivery process so your Synapse environment is architected correctly from day one - no rework, no surprise costs on go-live.
We audit your existing data estate, SQL Server or SSIS pipelines, Azure subscription structure, and BI layer to produce a Synapse architecture blueprint - workspace layout, pool strategy, Data Lake zone design, and ingestion approach.
⏱ Week 1We provision the Synapse workspace, configure SQL and Spark pools, implement security boundaries, and build the first ADF ingestion pipelines from your priority source systems - data starts flowing into your Data Lake bronze layer.
⏱ Week 2 to 3We build the silver and gold transformation layers, migrate historical data from your legacy warehouse, validate data parity, and implement the full Azure DevOps CI/CD pipeline so all assets are version-controlled and deployable.
⏱ Week 3 to 5We connect Power BI to Synapse, complete production cutover, and hand over the platform with full documentation, runbooks, and a post-launch cost and performance review to address any emerging Dedicated Pool or pipeline patterns.
⏱ Week 5 to 6
Azure Synapse Analytics
Azure Data Factory
Azure Data Lake Gen2
Azure Event Hubs
Azure DevOps
Azure Purview
PySpark
dbt
Power BI
SQL Server / T-SQL
SSIS Migration
Git / GitHubWhy Enterprises Choose Us for Azure Synapse Consulting
Six reasons our clients go live on Synapse faster, with better architecture and lower ongoing costs.
Our team holds Azure Data Engineer Associate and Azure Solutions Architect certifications. We don't learn Synapse on your project - we've delivered it across dozens of production environments.
Our structured 4-phase process eliminates the drift that turns Synapse projects into 4-month engagements. Most clients are in production - with DataOps pipelines running - before week 7.
We don't build pipelines and walk away. Every engagement includes Git version control, Azure DevOps CI/CD, and environment promotion gates - so your data platform is maintained like software, not a one-off project.
We don't switch your reporting to Synapse until automated validation confirms your data matches the legacy source across every key table, metric, and aggregate. No surprises after go-live.
Correct DWU sizing, pause/resume automation, Serverless SQL for ad-hoc workloads, and workload management groups typically cut Synapse running costs by 40-50% versus a naively provisioned environment.
We hand over architecture docs, pipeline runbooks, Azure DevOps board setup, and a team walkthrough session. Your engineers can manage and extend the platform without depending on us for ongoing changes.
"We had been running SQL Server DW on ageing hardware for six years. The SSIS packages were a black box - nobody fully understood them and any change took weeks. Numlytics mapped the entire estate in a week, rebuilt the pipelines in Azure Data Factory, and had us live on Synapse in 41 days. Power BI reports that used to take 90 seconds now load in under 5. The DataOps setup they left us - Git, Azure DevOps pipelines, the lot - has genuinely changed how our data team operates."
Other cloud data and analytics services our clients combine with Azure Synapse consulting.
Common Questions About Azure Synapse Consulting
Still deciding? These are the questions our clients ask most before kicking off a Synapse engagement.
Book a Free Call →Modernise Your Data Platform on Azure Synapse
Book a free 45-minute consultation. We'll map your current SQL Server or SSIS estate and give you a Synapse architecture blueprint - at no cost.