Microsoft fabric beginner to intermediate

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Free Download Microsoft fabric beginner to intermediate
Published 7/2024
Created by Bhawna Bedi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 33 Lectures ( 4h 31m ) | Size: 1.56 GB

Fabric!
What you'll learn:
Get an end to end understanding on Microsoft Fabric
Get Ready to work on any realtime project
Crack a job Interview
Get expertise in data domain
Requirements:
No Pre-requisite required
Description:
Master the art of data engineering with Microsoft Fabric and unleash the power of data like never before!Microsoft Fabric for Data Engineers course covers the fundamentals of using Microsoft Fabric for managing complex data engineering tasks efficiently.Key Highlights:Understanding Microsoft Fabric architectureImplementing data pipelines with Microsoft FabricWhat you will learn:Microsoft Fabric ArchitectureExplore the architecture of Microsoft Fabric and its components.End-to-End Fabric Implementation for Data engineersLearn how to design and implement data pipelines using Microsoft Fabric for data processing with most used features and new concepts.You should learn Microsoft Fabric because it offers the following benefits:Seamlessly integrated platform: Fabric simplifies your analytics requirements by providing a user-friendly, integrated solution.Alternative to siloed approach: It reduces complexity by integrating solutions across the analytics stack.Unified experience: Fabric brings all your data and analytics tools into a single experience.Artificial intelligence capabilities: Fabric includes generative AI built in.Empowerment for business users and cost reduction through unified capacities.Keep yourself up to date with the latest technology used in the industry at the moment.Hope your Learn and enjoy the course!! Stay motivated, learning never ends in the IT industry, so let's grow on learn together!!Keep yourself up to date with the latest technology used in the industry at the moment.
Who this course is for:
Data Engineers or Students
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