Azure Data Engineer Associate (DP-203) Cert Prep: 2 Design and Develop Data Processing
With Noah Gift
Liked by 278 users
Duration: 46m
Skill level: Intermediate
Released: 1/6/2022
Course details
Are you preparing for the Microsoft Azure Data Engineering (DP-203) exam, or seeking a better understanding of how to design and develop data processing? This course, the second in a series, can help you. Noah Gift, founder of Pragmatic A.I. Labs and a Python Software Foundation Fellow, covers how to design and develop data processing with Azure. Noah shows you how to use Apache Spark, Data Factory, and Databricks to ingest and transform data in Azure. He goes over data cleaning and common data transformation tasks, then dives into batch processing solutions. After explaining how to integrate Jupyter/Python notebooks into your data pipeline, Noah discusses stream processing, the differences between stream and batch processing, and using the Azure Data Factory solution to manage your batches and pipelines.
Note: This course was created by Noah Gift. We are pleased to host this training in our library.
Note: This course was created by Noah Gift. We are pleased to host this training in our library.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Harini Arumugam
Harini Arumugam
Certified Azure Data Engineer| Data Analytics| Software Testing| Data Factory | Python | Synapse Analytics | ETL | SQL | Pipeline | Databricks |…
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Contents
What’s included
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
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