Learn Azure Data Engineering using Real-world Working Projects
Description
Why you want to Learn by doing projects ?
This course contains Azure Data Engineer real world projects. The best way to learn any new tools or technology is by doing things.I know learning by reading and understanding each components in Azure will be a boring task. Instead if you do some simple projects , it always helps you to learn the services in better and efficient way. In this course you can practice along with me and try to implement these projects even if you don’t know anything. Once you did these projects you will get some basic understanding , next you can learn each components in detail.
Azure Data Engineering – Azure Services using
I tried to add most of the commonly used Azure Data Engineering components in Azure , they are
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Azure Data bricks
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Azure Storage / Azure Data Lake Gen-2
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Azure Functions
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Azure Databricks
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Azure Synapse Analytics
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Azure SQL
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Azure Cosmos DB
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Azure Data Factory
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Azure Cognitive Services
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Azure Key Vault
This course will help you in preparing and mastering your Azure Data engineering Concepts.
Who this course is for:
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Aspiring Data engineer who are searching for project to add in resume
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Students who are planning to switch their career in Data Engineering
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Developers working on other technology trying to witch to Data Engineering
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Data Engineers/ Data Warehouse Developers currently working on other platform who want to learn Azure Technologies
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Data Architects who want to refresh their knowledge in Azure Data Engineering stack
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Data Scientists who want extend their knowledge into data engineering
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Someone who is looking for Real World uses cases to implement as Data engineering Solution
Total Students | 123 |
---|---|
Duration | 6 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 46 |
Number of quizzes | 0 |
Total Reviews | 14 |
Global Rating | 4.285714 |
Instructor Name | Sijeesh Kunnotharamal |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 6 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Intermediate → Advanced
Key Takeaways for Learners
- Analytics
- Project
- Step By Step
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Project
- Step By Step
- Hands On
Watch-outs
- Missing project
Difficulty
Best suited for
Marketers with some platform experience, Doers who prefer project-led learning
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