Azure Data Lake Consulting

Build a secure, scalable foundation for modern analytics with Azure Data Lake

AGER BI helps you design and implement data lake solutions that centralise, govern, and prepare your data for advanced BI and AI use cases.

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Organisations we’ve helped

What we’ve helped our clients achieve

In savings and new value unlocked

Data projects delivered with lasting business impact

Years of solving complex data challenges

Users supported across Australia and New Zealand

Azure Data Lake Consulting Services That Drive Results

Data Lake Architecture & Design

Define zones (raw, curated, analytics) and storage hierarchy to support governance, scalability, and query performance.

Data Ingestion & ETL Pipelines

Use Data Factory or Synapse pipelines to ingest from on-prem and cloud systems, including APIs, files, and IoT feeds.

Data Lakehouse Implementation

Bridge the gap between lakes and warehouses, enabling direct analytics through Synapse or Databricks.

Security & Access Control

Apply Azure AD, RBAC, and private endpoints to protect sensitive data and maintain compliance.

Governance & Metadata Management

Integrate with Azure Purview to track lineage, classifications, and access policies across datasets.

Optimisation & Cost Management

Implement lifecycle policies, partitioning, and tiered storage to minimise costs while maximising performance.

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What Azure Data Lake Enables

Centralised Enterprise Data Repository

Consolidate structured, semi-structured, and unstructured data into one secure, scalable environment that supports analytics across your organisation.

Scalable Storage and Compute Separation

Scale storage independently of compute to handle petabytes of data cost-effectively, without impacting query or processing performance.

Seamless Integration with Synapse, Databricks & Power BI

Enable smooth data flow between Azure Data Lake and your analytics tools for unified reporting, machine learning, and business intelligence.

Real-Time Data Ingestion and Streaming

Capture IoT, log, and event-streaming data in near real time for faster operational insights and automation opportunities.

Support for Advanced Analytics & AI

Prepare and feed clean, high-quality data directly into Azure ML and Synapse ML for predictive analytics and data science workloads.

Strong Data Governance & Compliance

Apply fine-grained access control, encryption, and data lineage tracking through Azure Purview for regulatory and organisational compliance.

Lower Storage & Maintenance Costs

Optimise costs with tiered storage, automatic lifecycle management, and on-demand scalability, pay only for what you use.

Flexible Data Architecture for Any Source

Ingest data from APIs, databases, SaaS platforms, files, or IoT systems using Azure Data Factory or Synapse pipelines, no reengineering required.

Future-Proof Foundation for Data Fabric & Lakehouse

Lay the groundwork for Microsoft Fabric and modern lakehouse architectures, ensuring your organisation is ready for next-generation analytics.

How We Deliver

And here’s how we deliver Azure Data Lake projects for your organisation

1: Discover / Access

Review data sources, storage needs, and compliance.

2: Design / Blueprint

Define lake zones, data models, and access control.

3: Build / Deploy

Create Azure Data Lake architecture and pipelines.

4: Optimise / Monitor

Implement lifecycle policies and query tuning.

5: Support / Evolve

Ongoing enhancements, Purview integration, and scaling.

Unified Data Visibility

Elastic PAYG scaling

Unified Data Platform

Real-Time Ingestion

Data Governance

Storage Management

Robust Security

Automation & Orchestration

Speak with an expert

How we deliver results

Your trusted certified Microsoft experts

Microsoft Azure Data Engineer Associate

Microsoft Power BI Data Analyst Associate

Fabric Analytics Engineer Associate

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 Data Lake Can Do For Your Business

Centralise Enterprise Data For Unified Analytics

Bring together structured, semi-structured, and unstructured data from cloud and on-premises systems into a single, secure Data Lake. By consolidating everything into one governed environment, you remove silos and enable analytics teams to access consistent, high-quality data for decision-making.

Enable Scalable, Cost-Efficient Storage

Azure Data Lake separates storage from compute, letting you scale resources independently. Use tiered storage to optimise costs, keep hot data immediately accessible while moving archived data to low-cost tiers. This flexibility ensures predictable spend as your data volumes grow.

Simplify Data Ingestion And Integration

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.

Empower Advanced Analytics And Machine Learning

Use Azure Data Lake as the foundation for AI and predictive analytics. With seamless connectivity to Azure Synapse, Databricks, and Azure Machine Learning, teams can transform raw data into insights for forecasting, anomaly detection, and intelligent automation.

Strengthen Governance, Security, And Compliance

Safeguard your data assets with Azure’s built-in encryption, RBAC permissions, and private endpoints. Integrate Azure Purview for data lineage tracking, classification, and access auditing, ensuring compliance with standards like ISO 27001, HIPAA, and the Australian Privacy Principles.

Future-Proof Your Data Strategy

Lay the foundation for Microsoft Fabric and other emerging analytics ecosystems. Azure Data Lake integrates seamlessly with Synapse, Power BI, and Databricks—ensuring that your architecture can evolve as your business scales and technology advances.

How Azure Data Lake Is Used Across Teams and Industries

Financial Services

Consolidate transaction, risk, and customer data from ERP, CRM, and trading platforms. Azure Data Lake supports advanced analytics for fraud detection, credit risk modelling, and compliance with APRA and IFRS reporting standards.

Mining & Resources

Collect and centralise IoT, equipment, and production data from multiple sites. Use the Data Lake to analyse sensor readings, optimise extraction and maintenance schedules, and monitor environmental and safety metrics in real time.

Healthcare

Integrate patient, clinical, and operational data to improve quality-of-care reporting, resource planning, and compliance. Data Lakes enable hospitals and health networks to unify EMR, finance, and staffing systems into a single secure environment for analytics and forecasting.

Education & Government

Aggregate student performance, enrolment, and policy data for better planning and transparency. Azure Data Lake helps departments implement secure data-sharing frameworks and supports evidence-based decision-making.

Manufacturing

Ingest MES, QA, and IoT sensor data to improve visibility across production lines. Enable predictive maintenance, yield optimisation, and real-time performance monitoring by combining Data Lake storage with Synapse or Databricks analytics.

Retail & Consumer Goods

Combine point-of-sale, e-commerce, inventory, and marketing data to understand customer behaviour and optimise campaigns. Power AI-driven recommendation engines and personalised promotions through Synapse and Power BI integrations.

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