The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. In this course, you will learn the various data platform technologies available, and how a Data Engineer can take advantage of this technology to an organization's benefit.
제공자:
이 강좌에 대하여
Solid knowledge of data processing languages, such as SQL, Python, or Scala, and understanding of parallel processing and data architecture patterns.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기배울 내용
You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.
귀하가 습득할 기술
- Choose Microsft Azure data technologies that meet different business needs and scale to meet demand securely
- Describe common data engineering practices
- Explain the differences between on-premises and cloud data solutions
- Prepare for the Microsoft Certified: Azure Data Engineer Associate exam
Solid knowledge of data processing languages, such as SQL, Python, or Scala, and understanding of parallel processing and data architecture patterns.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기제공자:
강의 계획표 - 이 강좌에서 배울 내용
The Evolving world of data and the data engineer
Services on the Microsoft Azure Data Platform
Practice Exam on Store Data in Microsoft Azure
검토
- 5 stars64.33%
- 4 stars24.82%
- 3 stars5.59%
- 2 stars3.14%
- 1 star2.09%
MICROSOFT AZURE FOR DATA ENGINEERING의 최상위 리뷰
Very well good understanding on azure data manage services as well as with open source how to deal with Both btach and Streaming data
The pace of this course is a bit too fast and as an introductory course uses terminology not necessarily familiar to the student even with some experience in the Azure platform
It's a great course to understand different Azure services in great detail so you can use them as required.
A very simple and good intro to the Data Engineering and the DP-203
Microsoft Azure 데이터 엔지니어링 어소시에이트(DP-203) 전문 인증서 정보

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