Since Microsoft Fabric has been announced there have been many questions and queries about licensing and in this blog post we will go through everything you need to know to get started.

This blog will walk you through the entire data lifecycle of ingesting data from SharePoint and Azure Blob Storage, through the lakehouse pattern, and finally to the reporting stage - all using Microsoft Fabric.

It’s really easy to get started with Microsoft Fabric. We can ingest data, transform it, and have it surfaced in Power BI in no time without creating a single Azure resource. That’s the easy part but how do we turn that into a robust, logical architecture that will give us a successful Analytics Platform?

With the advent of Fabric, many organisations with existing lakehouse implementations in Azure are wondering what changes Fabric will herald for them. Do they continue with their existing lakehouse implementation and design, or do they migrate entirely to Fabric?

In the data engineering field, we must ensure that large datasets are compressed efficiently to save storage space and reduce costs, but we also need to maintain strong query performance. This can be balanced by utilising the VertiParq engine and Delta in Microsoft Fabric.

If you have had a play around with Microsoft Fabric you will have seen that there are lots of different ways to get to your end goal. One of the most important decisions to make is whether to use a Lakehouse or Warehouse?

As data engineers, we face many challenges daily. Data is often distributed across many different sources, and frequently in a wide range of file types with varying levels of data quality. This is where OneLake comes in, described as the OneDrive for data.

Fabric is Microsoft’s brand-new SaaS analytics platform just announced at their Build conference. We think there are some great features in Fabric so in this blog post we want to highlight our top 10.

Fabric is Microsoft’s shiny new all-encompassing Software-as-a-Service (SaaS) analytics platform. That means Fabric is your one-stop-shop for your full data platform, from ingesting source data through to data visualisation across each persona, from Data Engineer to Power BI user and everyone in between.