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Description of  Understanding the potential of Microsoft Fabric

Warehousing, Data Science, and visualisation capabilities What you'll learn Confidently explain what the purpose of Microsoft Fabric is Recognise the different components that are available in Microsoft Fabric to architect and analyse data Identify the key terms and items used in Microsoft Fabric Evaluate how you might use Microsoft Fabric in the future Requirements Have an understanding of the importance of data analysis Beneficial to have experience with different data tools (eg Power BI, Python, Big Data Tools) to help you compare and contrast. However this is not essential. Description This introduction to Microsoft Fabric provides you with an overview of all the different experiences available: Data Engineering, Data Warehouse, Data Science, Realtime Analytics, Data Factory and Power BI.We'll ensure you understand what is possible in each area without overwhelming you with too much technical knowledge at this stage. You'll be provided with a workbook to note down the purpose of each area and come away with an understanding of how they can interact with each other.Each area has it's own purpose and yet they can interact with each other seamlessly. In addition to understanding the individual experiences we'll also cover concepts like OneLake and Delta tables so you can see how it all works together. You'll also learn about how the platform uses coding options like Apache Spark and T-SQL as well as having the option to use no-code tools like Dataflows Gen(2) and Data Pipelines.This course is perfect for you if you want to get a solid understanding of Microsoft Fabric without having to wade through hours of videos to make sense of it all.With this knowledge you can then decide if you want to use Microsoft Fabric in your organisation or choose whether to do further training to support your growth in this tool. Who this course is for Anyone working with data who wants to understand how Microsoft Fabric can support the work they do2023 Created by Nicki Tinson MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 20 Lectures ( 37m ) | Size: 711 MB Learn about the all-in-one platform providing Data EngineeringPublished 7