About this Course

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Shareable Certificate
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Intermediate Level

Knowledge of data processing languages, such as SQL, Python, or Scala. An understanding of parallel processing and data architecture patterns.

Approx. 9 hours to complete
English

What you will learn

  • How to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient.

  • How to set up a stream analytics job to stream data and manage a running job

  • How to describe the concepts of event processing and streaming data and how this applies to Azure Stream Analytics

  • How to use Advanced Threat Protection to proactively monitor your system and describe the various ways to upload data to Data Lake Storage Gen 2

Skills you will gain

  • Upload
  • Data Streaming
  • Microsoft Azure
  • Big Data
  • Complex Event Processing (CEP)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Knowledge of data processing languages, such as SQL, Python, or Scala. An understanding of parallel processing and data architecture patterns.

Approx. 9 hours to complete
English

Offered by

Placeholder

Microsoft

Syllabus - What you will learn from this course

Week1
Week 1
3 hours to complete

Azure Data Lake Storage

3 hours to complete
9 videos (Total 18 min), 6 readings, 4 quizzes
Week2
Week 2
2 hours to complete

Secure your Azure Storage account

2 hours to complete
8 videos (Total 18 min)
Week3
Week 3
4 hours to complete

Use Azure Stream Analytics

4 hours to complete
15 videos (Total 41 min), 8 readings, 8 quizzes
Week4
Week 4
1 hour to complete

Practice Exam on Azure Data Lake Storage Gen2 and Data Streaming Solution

1 hour to complete
2 videos (Total 5 min), 2 readings, 1 quiz

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About the Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate

Microsoft Azure Data Engineering Associate (DP-203)

Frequently Asked Questions

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