Microsoft Fabric Training

This LDI Blog post covers 10 key questions around Microsoft Fabric key concepts, including data mesh architecture, getting data into OneLake, the Spark engine and the pricing model. One of the questions even includes an interactive "practice the clicks" exercise where you are guided through the steps of getting a CSV file into the Delta lakehouse via the Lakehouse Explorer!

Microsoft Fabric: the new all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence.

Learn the definitions of terms used in Microsoft Fabric, including terms specific to Synapse Data Warehouse, Synapse Data Engineering, Synapse Data Science, Synapse Real-Time Analytics, Data Factory, and Power BI.

The Microsoft Fabric (Preview) trial includes access to the Fabric product experiences and the resources to create and host Fabric items.

Understand navigating to your items and actions from Microsoft Fabric Home.

A list of end-to-end tutorials available in Microsoft Fabric.

The Fabric Help pane: feature-aware and displays articles about the actions and features available on the current Fabric screen.

Explore end-to-end capabilities of Microsoft Fabric, and how to enable this for your organization.

Learn how Microsoft Fabric's unified management and governance make it easier for data professionals to work together on data projects.

Learn the process of why Fabric is a unified software-as-a-service (SaaS) offering, with all data stored in a single open format in OneLake.

Learn how you can give others access to it by adding them to the different roles. Workspace creators are automatically admins.

Learn how to create workspaces in Microsoft Fabric. In workspaces, you create collections of items such as lakehouses, warehouses, and reports.

Microsoft Fabric workspaces sit on top of OneLake and divide the data lake into separate containers that can be secured independently. Workspace roles let you manage who can do what in a Microsoft Fabric workspace.

What are workspaces, how to manage access to them, and what settings are available.

Learn how to apply sensitivity labels to Fabric items.

Learn how you can endorse your valuable, high-quality items to increase their visibility: promotion and certification.

In this video, Parvinder Chana delves into the world of Microsoft Fabric through the lens of Power BI and SQL developers. Microsoft Fabric offers a powerful set of tools and capabilities that can revolutionize the way developers work with data. He explores the seamless integration and unification of data workflows that Microsoft Fabric brings, enabling developers to maximize efficiency and drive insightful analytics. Throughout the video, he highlights the potential of Microsoft Fabric for Power BI and SQL developers, showcases its ability to simplify development processes and enhance data integration. In this intro video, he looks into various features and functionalities that empower developers to transform raw data into meaningful insights at scale. From simplifying data integration to enabling efficient collaboration, Microsoft Fabric opens up a world of possibilities for Power BI and SQL developers.

At the Microsoft Build conference (https://build.microsoft.com), a new data product - Microsoft Fabric has been announced. In the past, different Azure Services were needed to build data/analytics solutions - Azure Data Factory, Azure Data Lake storage, Azure SQL, Spark, Databricks, Azure Synapse Analytics... Different services needed to be connected, configuration details to be solved, data duplicated between the services and cost estimations to be calculated. With Fabric (according to Microsoft), data life got easier. One single tool covering all aspects of data work - Data integration, data engineering, data science, data warehousing, real-time analytics and business intelligence (Power BI). In addition: one storage mechanisms - the OneLake - provides a virtual, globally spanning enterprise data lake. Every Fabric workload uses the same storage format - the open-standard Delta/Parquet format - that means that data items produced by one of the workloads can be consumed by every other workload (even your data warehousing and Power BI workloads understands Delta now!!!). With the open standard Delta format, OneLake is also open for other analytic tools like Databricks. Data Integration & Engineering span their wings from pro-development using Apache Spark to Data Factory pipelines or (PowerQuery) DataFlows for the low-code developer. And in addition - licensing got easier because every workload is powered by Fabric capacities plus the costs for storage.

Microsoft just announced its brand-new data solution! But, is it really new? Or, is it simply rebranding of the existing offering? In this video, we'll look beyond the hype and marketing and explain Microsoft Fabric in plain English! Topics covered: 1. What is Microsoft Fabric? 2. What are the key pillars of Fabric? 3. Why DirectLake for Power BI is (potentially) a REAL revolution? 4. Lakehouse, Warehouse...Understanding different "houses" in Microsoft Fabric 5. What now for Azure Synapse Analytics? 6. Final verdict

Microsoft has Microsoft Fabric, the next-generation Analytic Platform. Check out how to enable it on Power BI Service. How to start a Fabric (Preview) trial The Microsoft Fabric Platform provides customers with a SaaS-ified, open, lake-centric(One Lake), full-featured data, analytics, and AI platform that meets all of their data estate needs. Power BI, Synapse Data Warehouse, Data Factory, Spark, and Notebook all under one platform

The secret is out, Microsoft Fabric has been announced and it's all everyone's talking about. So you've watched MS Build, skimmed a couple of blogs or drowned in a sea of tweets... but maybe you're still not sure what Fabric actually is... We've been working with the new platform for the last few months; figuring out how it fits together and how people are going to use it. In this video Simon lays out the basics - what Microsoft Fabric is, where it came from, and how to think about using it! For more info on Fabric, check out our overview blog: www.advancinganalytics.co.uk/blog/2023/5/17/what-is-microsoft-fabric Stay tuned for a bunch of Microsoft Fabric videos over the next weeks and months as we watch the journey from preview to general availability

Besides the familiar concepts, there are also many new things that are not known in the world of Power BI. This might freak you out at this early point in time, so quickly after the release. Should you become a full stack BI developer now covering all different workloads? Should you start learning Python, writing Spark notebooks and building pipelines?

During Microsoft Build 2023, Microsoft Fabric has been announced in public preview. If you want to try Fabric in your tenant, you need to enable the Fabric features in your Power BI admin portal.

By the end of this post, you will have a good overview of Microsoft Fabric. In addition, where your SQL Server background can prove to be useful.

Microsoft Fabric is a new all in one platform which includes Power BI. It is a single area where you can now complete all your data requirements without having the overhead of having to configure and manage multiple components. It is also possible to use the different components with a seamless experience.

Real-Time Analytics is one of the data and analytical workloads/experiences available in Microsoft Fabric, the new platform currently in Public Preview at Microsoft. With Real-Time Analytics, companies and developers can gain valuable insights and analysis from real-time data streams.

Before I delve into Fabric itself, let’s start with a brief introduction where I will try to describe a few problems that this new platform aims to address. To begin with, all of us who work with data can attest to the fact that there are a few core challenges when it comes to planning and implementing a new analytical platform or solution.

OneLake data hub makes it easy to find, explore, and use the Fabric data items in your organization that you have access to. It provides information about the items and entry points for working with them.

Microsoft Fabric has been released, there's a flood of information out in the world for you to start digesting! Fabric has different experiences, different workload types, but the underlying data is held as Delta tables. With the T-SQL Synapse Warehouse workload, and the Spark-based Data Engineering workload, it's a confusing choice. Does it matter? Are there pros/cons to each side? Why are there two experiences?? In this video Simon walks through the differences and explains where he would use the two workload