Microsoft Azure offers a flexible and powerful foundation for cloud-based data platforms. At i-spark, we use Azure to help organisations build, modernise, and scale their data infrastructure — ensuring performance, security, and clarity at every layer.
From data ingestion and transformation to visualisation and AI, we design Azure-based architectures that connect the right tools and make your data work harder for you.
Data Infrastructure That Scales with Confidence
We help teams leverage key Azure services — including Azure Data Factory, Synapse Analytics, and Data Lake Storage — to create end-to-end data workflows that are efficient, transparent, and easy to maintain.
Our approach focuses on simplifying complexity. We align data architecture with your operational goals, making sure every pipeline and dataset serves a clear purpose.
Integrated Analytics and AI
Azure makes it possible to bring analytics, data science, and automation under one roof. i-spark helps you combine these capabilities to unlock real-time insights and predictive models that drive business performance.
We connect Azure with tools like Databricks, Power BI, and Snowflake, ensuring seamless data flow from raw collection to actionable intelligence.
Optimised for Performance, Cost, and Security
Cloud efficiency isn’t just about speed — it’s about smart architecture. i-spark helps teams optimise storage, compute, and orchestration on Azure to achieve high performance without unnecessary cost.
We also implement best practices in data governance and compliance, ensuring your setup meets security standards and regulatory requirements from day one.
Work With i-spark
At i-spark, we turn Azure into more than just infrastructure — it becomes a foundation for clarity, collaboration, and continuous improvement.