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Our Platform Services

We deliver Azure-native data warehouses and lakehouses on Microsoft Fabric and Azure + Snowflake - secure by design, AI-ready and cost-smart. Choose our turn-key solutions (accelerated by TÄ«eke / TÅ«Ä« / Ruru) or a bespoke Azure build: either way, you’ll land governed data products and NLQ-ready semantic models in weeks, not months. With Purview governance, Entra/Private Link security and FinOps baked in, your platform scales confidently from analytics today to RAG/automation tomorrow.

end-to-end delivery

Design & Build

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  • Cloud architecture & landing zones: subscriptions, networking + Private Link; Entra ID/RBAC; Key Vault; tagging/policy; monitoring; backup/DR.

  • Ingestion & integration: batch, streaming & CDC from CRM/ERP/HR/finance/SaaS; event-driven patterns (Event Grid/Service Bus/APIM).

  • Lakehouse storage & processing: OneLake/ADLS Gen2 with Bronze → Silver → Gold; Delta/Parquet; scalable transformations.

  • Modelling & serving: dimensional/Data Vault where useful; semantic models for governed self-service and NLQ-readiness.

Govern, Secure & Run

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  • Governance, quality & lineage: catalogue, classifications, policies and end-to-end lineage; automated data tests and reconciliations.

  • Security & compliance: least-privilege access, PIM, private networking, encryption, audit trails; aligned to NZ public-sector expectations.

  • DevOps/DataOps: IaC (Bicep/Terraform), Git-based CI/CD (Azure DevOps/GitHub), environment promotion, automated testing.

  • Observability & FinOps: SLOs/SLAs, pipeline health, unit-cost dashboards, budgets/alerts and optimisation playbooks.

  • Operate & improve: on-call runbooks, incident response, performance tuning and an enhancement backlog via Managed Services.

Reference patterns we use

We work with you to assess your drivers, needs and budget, then select (or combine) one of our four reference patterns—Native Azure, Fabric Azure, Azure–Snowflake, or Turn-key Azure. Together we map the use cases (BI, streaming, NLQ/RAG, data science), regulatory and security expectations, team skills, data gravity, timelines and total cost of ownership. We make the trade-offs explicit—performance, governance, flexibility and run-cost—using a simple decision matrix and FinOps modelling. If helpful, we validate assumptions with a focused pilot so you see value early and de-risk later stages. The result is a pragmatic pattern that fits today, scales for tomorrow, and avoids lock-in or unnecessary rework.

1. Native Azure

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Best for: Teams that want full control over Azure services without Fabric’s integrated layer—heavy engineering, streaming, data science, or bespoke patterns.

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Core building blocks:

  • Store & process: ADLS Gen2, Delta/Parquet; Databricks (notebooks/Jobs/Workflows) or Synapse (Spark/SQL).

  • Ingest & integrate: Data Factory/ADF, Event Grid/Service Bus, APIM; batch, streaming and CDC.

  • Model & serve: Curated marts; Power BI semantic models for governed self-service and NLQ.

  • Govern & secure: Purview (catalogue/lineage), Entra ID/RBAC, Private Link, Key Vault, Defender for Cloud.

2. Fabric Azure

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Best for: Microsoft estates seeking a unified experience and rapid, enterprise-wide rollout.

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Core building blocks:

  • Store & compute: OneLake; Lakehouse & Warehouse items; Spark notebooks; Dataflows/Pipelines.

  • Model & BI: Fabric semantic models; Power BI for governed dashboards and conversational analytics/NLQ.

  • Govern & secure: Purview catalogue/lineage, classifications; Fabric workspaces with sensitivity labels; Entra, Private Link.

3. Azure-Snowflake

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Best for: Organisations prioritising elastic SQL warehousing, cross-region sharing and Snowpark/Cortex features.

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Core building blocks:

  • Ingest & store: ADF/Fabric/Databricks to land in ADLS/OneLake, then load via Snowpipe/Tasks.

  • Model & serve: Snowflake models and secure UDFs; Snowpark for pipelines/ML; Cortex for search/functions; Power BI for visuals.

  • Govern & secure: Purview for catalogue/lineage across Azure + Snowflake; role-based access, masking and row-level policies.

4. DataSing's Azure Turn-Key

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Best for: Teams needing rapid outcomes, fixed scope and low risk—pilot to production in weeks, then scale.

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Core building blocks:

  • Landing zone + security baseline (Entra, Private Link, Key Vault, policies).

  • Pre-configured ingestion with TÄ«eke (batch/stream/CDC) and source templates.

  • Quality & lineage with TÅ«Ä« (tests, reconciliations, Purview lineage).

  • Curated marts & semantic layer with Ruru (NLQ-ready models, starter dashboards).

  • Ops & FinOps: monitoring, budgets/alerts, runbooks; handover to Managed Service.

More about our Turnkey Solutions:

Our TÄ«eke Platform​ 

TÄ«eke is a streamlined, easy-to-use Azure-based data warehousing solution designed specifically for small agencies looking to transition from spreadsheet-based data management to a robust, managed data solution.

 

With Tīeke, agencies can store, process, and analyse their data more efficiently, leading to improved decision-making and business outcomes.​

  • Simple Setup: TÄ«eke is a pre-built solution that can be easily set up with minimal technical expertise, allowing you to quickly transition from spreadsheets to a managed data environment.​​

  • Intuitive User Interface: TÄ«eke's user-friendly interface makes it easy to manage and analyse your data without the need for extensive technical knowledge.​​

  • Integrated Data Transformation: With built-in ETL (Extract, Transform, Load) capabilities, TÄ«eke simplifies the process of converting spreadsheet data into actionable business insights.​​

  • Seamless Integration with Spreadsheet Tools: TÄ«eke integrates seamlessly with popular spreadsheet tools such as Microsoft Excel, making it easy to import and manage existing data.​​

  • Azure Security and Compliance: As a solution built on Azure, TÄ«eke benefits from Azure's state-of-the-art security features and regulatory compliance.​

  • Ease of Use: TÄ«eke is designed to be user-friendly, with a focus on simplicity and ease of use. It's a good fit for agencies that have limited technical expertise but need to upgrade from a spreadsheet-based data management system.​​

 

  • Low Cost: TÄ«eke is an affordable solution for small agencies, offering a lower-cost alternative to more complex data warehousing solutions.

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  • Use Cases: Suitable for small agencies that need to manage client data, track marketing or sales data, or analyse operational data.​

Our TÅ«Ä«
Platform​

TÅ«Ä« is a turnkey data warehouse solution built on Azure foundations. Our proprietary config based ingestion engine removes supercharges data engineering tasks, expediting time to value. This solution is ideal for businesses that have found data ingestion, cataloging and curation a traditional bottleneck. It provides a straightforward, yet powerful data warehousing solution that can handle large and disparate volumes of data from core systems.

The TÅ«Ä« solution encapsulates a balance between simplicity and functionality, making it a go-to solution for businesses that require a straightforward yet potent data warehousing solution without delving into more complex enterprise-grade solutions.

 

  • Simplified Data Management: TÅ«Ä« provides a straightforward database structure that simplifies data management, making it easy to store, access, and analyse your data.

  • Config Based ETL Capabilities: Leveraging Azure Data Factory, TÅ«Ä« fast tracks ETL processes, allowing for efficient data transformation and analysis.

  • Scalability: TÅ«Ä« can easily scale to handle larger data volumes and varieties as your business grows.

  • Real-Time Data Insights: TÅ«Ä« integration with Azure's analytics tools allows for real-time data insights, aiding in rapid decision-making.

  • Azure Security and Compliance: TÅ«Ä« provides the ISO27001 grade security and compliance controls inherent to the Azure platform.

  • Scalability: Designed to grow with business needs, TÅ«Ä« can scale its resources, handling increasing data volumes  without manual intervention.

  • Flexibility: The system can integrate with a wide range of data sources, catering to diverse business requirements.

  • Accelerates Data Curation: TÅ«Ä«'s config based ingestion reduces the cost and complexity of data engineering tasks.

  • Cataloging UI: TÅ«Ä« includes a basic cataloging UI that allows users to tag and discover data in their business context without the need to invest in expensive enterprise tools.

Our Ruru
Platform​

Ruru is a comprehensive data warehousing and analytics solution based on Azure Synapse Analytics. This solution is suitable for medium to large enterprises that require advanced analytics capabilities, including big data and AI.

Ruru_Platform.png

Ruru, being Azure Synapse-based, caters to enterprises that need a powerful, all-encompassing data solution. It's designed to handle complex analytics workloads while ensuring scalability, flexibility, and security, making it an optimal choice for businesses with advanced data needs.

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  • Advanced Analytics: Ruru leverages the full capabilities of Azure Synapse Analytics, offering powerful data warehousing, big data analytics, and AI functionality.

  • Scalability: As your data needs grow, Ruru can seamlessly scale to provide consistent performance, making it ideal for large businesses dealing with extensive data sets.

  • Integrated AI Capabilities: Ruru integrates with Azure Machine Learning and cognitive services for AI-infused analytics.

  • Data Exploration with Synapse Studio: A unified web interface to monitor, manage, and develop analytics within Azure Synapse. It integrates code development, data exploration, and pipeline monitoring in one interface.

  • Real-Time Analytics: With Ruru, businesses can access real-time analytics, helping them to respond quickly to changing business conditions.

  • Azure Security and Compliance: Ruru offers robust security features, including data encryption and automated threat detection, as well as ensuring regulatory compliance with GDPR, HIPAA, and other relevant regulations.

  • Support for Multiple Languages and Frameworks: Offers support for T-SQL, Spark SQL, .NET, Python, Scala, and Java, catering to a variety of developer preferences.

  • Unified Experience: Ruru, with Azure Synapse, provides a single platform for big data and data warehousing, simplifying architecture and management.

  • Seamless Scaling: Resources can be adjusted easily to accommodate both big data and data warehousing workloads.

  • Advanced Analytics: With integrated Spark capabilities, organisations can derive more sophisticated insights.

  • Enhanced Security: Azure Synapse Analytics offers some of the best security features in the industry, ensuring data protection at every level.

  • Real-time Analytics: Support for streaming analytics allows businesses to process and analyze data in real-time.

  • Collaborative Development: Synapse Studio promotes a more collaborative environment for developers, data engineers, and data scientists.

  • Turnkey Solutions: The solution offers out-of-the-box capabilities to jumpstart analytics, minimising the time-to-insight.

We also design and deliver customised solutions for clients. Please drop us a line and we'll be happy to discuss how we can help.

Want to find out more about our platform services? Drop us a line and we'll get back to you!

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