In this course, you will see how Azure Data Lake Storage can make processing Big Data analytical solutions more efficient and how easy it is to set up. You will also explore how it fits into common architectures, as well as the different methods of uploading the data to the data store. You will examine the myriad of security features that will ensure your data is secure. Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
제공자:
이 강좌에 대하여
최근 조회 7,711회
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 10개 강좌 중 9번째 강좌:
중급 단계
Knowledge of data processing languages, such as SQL, Python, or Scala. An understanding of parallel processing and data architecture patterns.
완료하는 데 약 9시간 필요
영어
자막: 영어
배울 내용
You will learn how to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient.
귀하가 습득할 기술
- Set up a stream analytics job to stream data and manag a running job.
- Describe the concepts of event processing and streaming data and how this applies to Azure Stream Analytics.
- Use Advanced Threat Protection to proactively monitor your system.
- Describe the various ways to upload data to Data Lake Storage Gen 2
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 10개 강좌 중 9번째 강좌:
중급 단계
Knowledge of data processing languages, such as SQL, Python, or Scala. An understanding of parallel processing and data architecture patterns.
완료하는 데 약 9시간 필요
영어
자막: 영어
제공자:
Microsoft
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Azure Data Lake Storage
In this module, you will learn how Azure Data Lake Storage provides a cloud storage service that is highly available, secure, durable, scalable, and redundant and brings new efficiencies to processing big data analytics workloads.
완료하는 데 3시간 필요
9개 동영상 (총 18분), 6 개의 읽기 자료, 4 개의 테스트
완료하는 데 2시간 필요
Secure your Azure Storage account
In this module, you will learn how Azure Storage provides multilayered security to protect your data. Find out how to use access keys, to secure networks, and to use Advanced Threat Protection to proactively monitor your system.
완료하는 데 2시간 필요
8개 동영상 (총 18분)
완료하는 데 4시간 필요
Use Azure Stream Analytics
In this module, you will learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
완료하는 데 4시간 필요
15개 동영상 (총 41분), 8 개의 읽기 자료, 8 개의 테스트
완료하는 데 1시간 필요
Practice Exam on Azure Data Lake Storage Gen2 and Data Streaming Solution
In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure.
완료하는 데 1시간 필요
2개 동영상 (총 5분), 2 개의 읽기 자료, 1 개의 테스트
Microsoft Azure Data Engineering Associate DP-203 Exam Prep 특화 과정 정보
This Specialization is intended for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). This Specialization will help you develop expertise in designing and implementing data solutions that use Microsoft Azure data services. You will learn how to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. This program consists of 10 courses to help prepare you to take Exam DP-203: Data Engineering on Microsoft Azure (beta). Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
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