Azure Synapse Consulting

Build a modern, high-performance analytics platform with Azure Synapse Analytics

AGER BI helps organisations design, deploy and optimise Azure Synapse Analytics platforms. Whether you’re ingesting data from multiple sources or building scalable analytics solutions, Synapse provides a unified analytics engine for enterprise BI.

Supporting organisations across Australia, New Zealand, and internationally with Azure Synapse consulting.

Organisations we’ve helped

What we’ve helped our clients achieve

0M

In savings and new value unlocked

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Data projects delivered with lasting business impact

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Years of solving complex data challenges

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Users supported across Australia and New Zealand

Azure Synapse consulting services that help you unlock real business value

Data Warehouse Architecture & Modelling

Design modern Azure Synapse data warehouses with optimised schemas, partitioning, and indexing strategies for high-performance analytics at scale.

Lakehouse Implementation

Build a unified lakehouse architecture combining Data Lake and Synapse SQL for seamless data exploration, querying, and advanced analytics.

Synapse SQL / Serverless SQL pools

Query data directly from Data Lake or dedicated storage using Synapse SQL or serverless SQL pools for fast, cost-efficient analytics.

Synapse Spark / Serverless Data Processing

Process and transform massive datasets using Spark notebooks and serverless compute, integrating Python, Scala, or .NET for advanced data engineering.

Integration with Data Factory & pipelines

Orchestrate complex ETL workflows by connecting Synapse with Azure Data Factory pipelines, ensuring smooth data ingestion and transformation.

Security, Governance, and Role-based access

Enforce enterprise-grade security with data encryption, managed private endpoints, and fine-grained access controls aligned with compliance frameworks.

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What the Synapse Ecosystem Enables

Dedicated SQL pools

Build high-performance, dedicated SQL data warehouses optimised for large-scale analytics. Manage structured data efficiently with partitioning, indexing, and workload isolation for consistent query performance.

Serverless SQL / On-demand query

Analyse massive data sets stored in Azure Data Lake without moving or copying data. Use serverless SQL to query Parquet, CSV, and Delta formats instantly and pay only for the data processed.

Apache Spark Integration

Harness Apache Spark within Synapse to run advanced data transformations, streaming analytics, and machine learning workloads, all in a unified workspace.

Data Lakehouse (OneLake)

Combine the flexibility of a data lake with the structure of a warehouse. OneLake centralises all your organisational data, enabling consistent schema enforcement and simplified governance.

Synapse Pipelines & Integrations

Orchestrate complex data workflows with Synapse pipelines. Seamlessly connect on-prem, SaaS, and Azure data sources through native connectors and Data Factory integration.

Integration with Power BI

Connect Synapse directly to Power BI for real-time analytics and interactive reporting. Create a single source of truth where data preparation, storage, and visualisation work together.

Machine Learning & AI integration via Spark / Synapse ML

Train, score, and deploy machine learning models directly within Synapse using Spark and Synapse ML. Enable predictive analytics and automate insights across your enterprise data.

Security, Encryption, Row-level Security

Protect sensitive information with end-to-end encryption, dynamic data masking, and role-based access control. Implement fine-grained row-level security to meet strict compliance standards.

MLOps / Deployment & CI/CD

Streamline analytics development with DevOps and Git integration. Automate version control, testing, and deployment pipelines for Synapse notebooks, SQL scripts, and Spark jobs.

How We Deliver

And here’s how we make Azure Synapse work for your organisation

1: Discover / Audit & Planning

Assess existing data, sources, and architecture.

2: Design / Architecture Blueprint

Define logical models, storage tiers, performance strategy.

3: Implementation / Build & Deploy

Build Synapse workspace, pipelines, data models.

4: Optimisation / Scale, Monitor & Tune

Monitor queries, adjust indexes, cost tuning.

5: Support & Evolution

Ongoing enhancements, new features, governance.

Improved Decision-Making

Cost-Optimised Scalability

Unified Data Platform

Real-Time Analysis

Data Governance

Scalability

Robust Security

Automation & CI/CD

Speak with an expert
How we deliver results

Your trusted certified Microsoft experts

Microsoft Azure Data Engineer Associate logo

Microsoft Azure Data Engineer Associate

Microsoft Power BI Data Analyst Associate logo

Microsoft Power BI Data Analyst Associate

fabric analytics engineer logo

Fabric Analytics Engineer Associate

databricks logo

Databricks Associate Developer for Apache Spark 3.0

We are certified specialists in Microsoft platforms such as Power BI, Fabric, Azure Data Factory, Azure SQL Database, Azure Synapse Analytics and Azure Databricks. We are also experts in Qlik View, Qlik Sense, Snowflake and Tableau.

What Azure Synapse Analytics can do for your business

Number 1

Accelerated analytics with consolidated data

  • Connect and consolidate data from hundreds of on-premises and cloud sources with Azure Synapse Analytics. Centralise disparate datasets, finance, operations, customer, and IoT, into a single governed environment to eliminate silos and manual reconciliation. Synapse’s native connectors and integration with Data Factory enable both batch and streaming ingestion, ensuring your dashboards and reports are always powered by live, trusted data.

Number 2

Reduced latency & faster insights

  • Replace slow, spreadsheet-driven processes with an intelligent, scalable analytics platform that delivers near-real-time visibility. Azure Synapse removes lag between source systems and reporting tools by using serverless query options and in-memory processing. Teams can act on the latest information instantly, speeding up forecasting, demand planning, and executive decision-making across the business.

Number 3

Lower maintenance / ETL overhead

  • Simplify and automate your ETL workload using Synapse Pipelines, Data Flows, and Spark notebooks. With a centralised data transformation layer, there’s no need for complex manual scripts or separate integration tools. Automated monitoring, logging, and error handling reduce the cost and risk of maintaining multiple data environments—so your engineers can focus on innovation, not maintenance.

Number 4

Scalable to petabyte volumes

  • Grow from gigabytes to petabytes without redesigning your architecture. Azure Synapse’s elastic compute and distributed storage scale automatically to meet data and performance demands. Whether you’re handling months of financial transactions or years of IoT sensor data, Synapse maintains consistent query performance and cost control through workload isolation and resource scaling.

Number 5

Unified SQL + Spark environment

  • Combine the strengths of traditional SQL analytics and big-data Spark processing within a single unified workspace. Azure Synapse lets data engineers, analysts, and data scientists collaborate seamlessly—running SQL queries, machine-learning models, and real-time transformations without switching tools or moving data. The result is a more agile, efficient analytics ecosystem that shortens delivery cycles and improves accuracy.

Number 6

Better governance, security, and compliance

  • Protect and control your enterprise data with Azure Synapse’s built-in governance and security framework. Implement role-based access, encryption at rest and in transit, and integration with Azure Purview for full data lineage visibility. Maintain compliance with healthcare, finance, and government standards while keeping audit trails, usage tracking, and version control centralised in one secure platform.

How Azure Synapse Analytics is used across teams and industries

Finance

Use Azure Synapse Analytics to consolidate financial data from ERP, CRM, and cloud systems into a single, governed platform. Automate reporting and forecasting while improving audit accuracy and compliance efficiency.

Retail

Unify sales, inventory, and customer data for real-time insights into product demand and customer behaviour. Enable personalised recommendations, dynamic pricing, and data-driven promotions powered by Synapse Analytics.

Healthcare

Integrate clinical, operational, and patient data into a secure, compliant environment. Deliver accurate reporting for resource planning, patient outcomes, and performance benchmarking using Azure Synapse Analytics.

Logistics

Bring together IoT, GPS, and warehouse data for complete supply chain visibility. Use Synapse to track shipments, optimise routes, and predict delivery performance through advanced analytics.

Manufacturing

Connect MES, IoT, and quality control systems to centralise production analytics. Enable predictive maintenance, yield optimisation, and cost control through Synapse’s integrated data pipelines.

IT & BI teams

Empower teams with a unified data platform that supports both data warehousing and lakehouse patterns. Simplify ETL, automate data governance, and accelerate report delivery with Azure Synapse and Power BI integration.

FAQ

Azure Synapse Analytics is Microsoft’s unified platform for data integration, warehousing, and analytics. It combines traditional SQL-based data warehousing with big-data processing using Apache Spark — all within a single environment. Synapse lets you ingest, prepare, and analyse data from multiple sources at any scale, and integrate directly with tools like Power BI and Azure Machine Learning to deliver insights faster.

Choose Azure Synapse when you need to manage both structured and semi-structured data in one environment — for example, combining finance data from SQL with IoT or log data from a data lake.

  • Azure SQL Database is ideal for smaller, transactional workloads or line-of-business systems.

  • Azure Databricks is better suited for heavy data science and unstructured big data processing.
    Synapse sits between the two: it provides the scalability of Databricks with the familiarity and accessibility of SQL, making it perfect for enterprise analytics, BI, and data warehousing.

Absolutely. Synapse and Power BI are designed to work together natively. You can connect Power BI directly to Synapse SQL or serverless pools to build real-time dashboards and reports. The integration supports DirectQuery for live data and includes security pass-through for role-based access, so users only see the data they’re authorised to view. This creates a seamless flow from raw data to actionable business intelligence.

Yes. Azure Synapse is built for high-volume, high-velocity data environments. It can process petabytes of structured and unstructured data using distributed compute and parallel query execution. Combined with its Apache Spark integration, Synapse can handle IoT streams, sensor data, and time-series analytics at scale. This makes it ideal for industries such as mining, manufacturing, logistics, and energy where performance and scalability are critical.

Azure Synapse offers two main pricing models:

  • Serverless: You pay only for the data you query, perfect for ad hoc analysis or variable workloads. It’s cost-effective when query frequency and data volumes fluctuate.

  • Dedicated SQL pools: You reserve compute resources (measured in Data Warehousing Units, or DWUs) for consistent performance and predictable workloads.
    Many organisations use a hybrid approach, leveraging serverless for flexible exploration and dedicated pools for steady, production-grade analytics.

Yes. We work with organisations in New Zealand, the United Kingdom, Europe, the United States, the Middle East, across the Asia–Pacific region, and internationally. All Azure Synapse consulting, development, and support services are delivered remotely using Microsoft Teams and secure cloud collaboration tools, making it easy to work together across time zones.

Unlock the full potential of your data

Let’s talk about how we can help you get better visibility, better reporting, and better results from your data.

1300 381 500

info@agerbi.com.au