Introduction to Data Engineering with Azure
Kurs
450 Studenter redan inskrivna- Understand the core concepts of Microsoft Azure, including cloud computing fundamentals and resource management.
- Set up and configure essential Azure services like Blob Storage, SQL Database, and Key Vault for secure data engineering workflows.
- Master Azure Data Factory (ADF) to build and automate ETL/ELT pipelines, including activities like Copy, Lookup, and Script.
- Perform advanced data transformations such as joins, aggregations, and conditional splits using ADF data flows.
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Det finns 4 moduler i denna kurs
Master the essentials of data engineering with Microsoft Azure in this comprehensive course. Starting with foundational concepts like cloud computing, resource management, and storage solutions, you'll progress to hands-on training in Azure Data Factory (ADF), mastering ETL/ELT workflows, and advanced data transformations. Through practical examples and real-world problem-solving, you'll gain the skills to design, implement, and optimize scalable data solutions using Azure.- Getting StartedFörhandsgranska
- Understanding Azure SubscriptionsFörhandsgranska
- Organizing Resources with Resource GroupsFörhandsgranska
- Using Azure Blob Storage for Data StorageFörhandsgranska
- Setting Up Azure SQL DatabaseFörhandsgranska
- Managing Credentials with Azure Key VaultFörhandsgranska
- Introduction to Azure Data FactoryFörhandsgranska
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Varför folk väljer Codefinity för sin karriär

Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
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Gökhan Dedeoglu
5
Recenserad den Jan 28, 2025
It would be better if you provide more courses about data engineering and data science subjects
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