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Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

LEARN, CONNECT, BUILD

Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

돌아가기

Azure DataWorks: Powering Data Engineering and Data Science

27 4월, 2023 | 11:00 오전 - 12:00 오후 (UTC) 협정 세계시

  • 서식:
  • alt##LivestreamLivestream

항목: 데이터 과학 및 Machine Learning

언어: 영어

What is the Session About?

The session is about exploring how Azure can be used to power data engineering and data science workflows. Specifically, the session will cover the core Azure services that enable data engineering and data science workloads, including Azure Data Factory, Azure Database, and Azure Machine Learning. The session is designed to be hands-on, with attendees being guided through the process of setting up and configuring data pipelines, building scalable data processing and analytics workflows, and building, training, and deploying machine learning models at scale using Azure. By the end of the session, attendees will have a solid understanding of how to use Azure to power their data engineering and data science workflows.

Who is it aimed at?

This session is aimed at enthusiastic students, data engineers, data scientists, and IT professionals who are interested in exploring data workloads & solutions in the cloud. No prior experience with Azure is required, but participants should have a basic understanding of Data & Machine Learning concepts

Why should you attend?

If you are a developer or a software engineer who is uncertain about how data engineering fits into machine learning & the cloud, this session is for you. It's common to view data engineering as a separate art that's practiced only by elite developers, but this session will help dispel those doubts. By attending, you'll learn how data engineering & machine learning can be integrated with azure and how they can be used to enhance decision making.

스피커

  • Neha Hafeez

    • Gold Microsoft Learn Student Ambassador

    Software engineering student at Fatima Jinnah Women University

  • Usman Khan

    • Senior Software Engineer I Founder

    Bytewise

관련 이벤트

아래 이벤트는 사용자에게도 관심이 있을 수 있습니다. 반드시 방문하세요. Reactor 홈페이지 사용 가능한 모든 이벤트를 확인합니다.

이 페이지의 일부는 기계 또는 AI 번역될 수 있습니다.