Azure

Introducing Microsoft Fabric: Data analytics for the era of AI

Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI.

As Arun Ulagaratchagan Corporate Vice President, Azure Data writes here, Microsoft are unveiling Microsoft Fabric — an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.

Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI.

Work with your data in place, wherever it resides, with Microsoft Fabric, their next generation data analytics service powered by one of the first true multi-cloud data lakes, called OneLake.

Go from raw data to meaningful insights over data spread across your organization and in other clouds in seconds—without moving it.

Microsoft Fabric provides a single integrated service that includes data integration capabilities, data engineering for shaping your data, data warehousing, the ability to build data science models, real time analytics, and business intelligence. Data from these different experiences is brought together by one unified data lake for your organization, OneLake, and is accessible regardless of the engine used.

In this tutorial Justyna Lucznik, Principal Group PM for Microsoft Fabric, joins Jeremy Chapman to share how to make your organizational data more accessible.

► AGENDA

00:00 – Introduction
01:47 – Unified data in OneLake
03:05 – Personalized experiences for data professionals
04:43 – How to get started with Microsoft Fabric
06:06 – Shortcuts capability in OneLake
07:35 – Native Windows Explorer integration
09:15 – Collaboration and shared work space
10:04 – LLMs and Copilot for model creation
11:33 – SQL Analyst experience
12:53 – Business user experience
14:06 – Wrap up

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button