Microsoft Fabric

Microsoft Fabric brings together everything you need – data engineering, data science, real-time analytics, data warehousing, and business intelligence – in one seamless SaaS package. No more cobbling together different tools like separate Azure Data Factory pipelines or managing complex Azure Synapse environments. Fabric cuts through complexity and gets you insights faster. It includes familiar components like Power BI and allows interaction with semantic models.

We'll help you bring scattered analytics tools into one unified platform, cutting costs and boosting efficiency. This includes consolidating data ingestion and the creation of efficient data pipelines.

We ensure all your people – from data engineers and data scientists to business analysts – have the right tools and training within their fabric workspace to make confident data-driven decisions using features like the real time hub for streaming data.

Not sure which fits your needs better? Contact us to see whether Microsoft Fabric or Azure aligns with your goals: You can also learn more about specific features and compare by exploring resources in the Microsoft Fabric Community or checking the documentation on latest features.

As a trusted Microsoft partner based in Hamilton, Waikato, we've helped organisations across New Zealand get the full value from their data. Our local expertise means you'll get advice that's practical, actionable, and tailored to your needs. We have experience helping clients utilise components like Data Factory and setting up effective data warehousing solutions within Fabric. We encourage clients and join developers in the vibrant Microsoft Fabric Community and provide the necessary technical support.

Isn't Fabric Data Engineering just another name for a Data Warehouse or Data Lake?

Not quite, though they all aim to help you get more value from your data. Think of a Data Fabric as an intelligent architectural approach that connects your existing data sources (which might include data warehouses or lakes) rather than requiring you to move everything into one new, central place. It focuses on creating seamless, governed access to data where it lives, making it more agile and often more cost-effective. It can work with and enhance your current investments and integrates concepts from technologies like Apache Spark.

Do we need to completely overhaul our existing data systems to adopt a Data Fabric?

That's a common concern, but no, a complete overhaul isn't usually necessary. Fabric Data Engineering is designed to be flexible and work with your existing infrastructure. The goal is to intelligently integrate and provide access to data in its current locations, leveraging your existing investments while modernising how you manage and use that data. We'll help you identify how a Fabric can best enhance what you already have, reducing data silos.

How quickly can we start seeing results from a Data Fabric implementation?

While building a comprehensive Data Fabric is an ongoing journey, you don't have to wait long to see tangible benefits. We focus on an iterative approach, identifying quick wins and foundational elements that can deliver value early on. This might mean improved access to a critical dataset for one team, or enhanced data quality in a key area within weeks or a few months, rather than years. Our goal is to demonstrate progress and build momentum from the outset using the Fabric platform.