课程详情

What you will learn
You will learn the various data platform technologies available, and how to take advantage of this technology to an organization
s
benefit.
You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.
You will learn how to create and manage data pipelines in the cloud using Azure Data Factory and Azure Synapse Pipeline.
How to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns.
Skills you will gain
Develop for Azure storage
Develop Azure compute solutions
Connect to and consume Azure services and third-party services
Implement Azure security
Monitor and troubleshoot Azure solutions
Choose Microsft Azure data technologies that meet different business needs and scale to meet demand securely
Describe common data engineering practices
Explain the differences between on-premises and cloud data solutions
Prepare for the Microsoft Certified: Azure Data Engineer Associate exam
Design and implement data storage
Design and implement data security
Monitor and optimize data storage and data processing
Earn 50% off your Microsoft Azure Data Fundamentals DP-203 Certification Exam
Learners who pass all courses will receive a voucher for 50% off the DP-203 Certification Exam.
About this Specialization
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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).
Applied Learning Project
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.
For example, when you learn about integrating, transforming, and consolidating data; you will work in a temporary Azure environment called the Sandbox or directly in the Azure Portal. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.
You will need a Microsoft account. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Knowledge of data processing languages, such as SQL, Python, or Scala, and understanding parallel processing and data architecture patterns.
Hours to complete
Approximately 13 months to complete
Suggested pace of 2 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Knowledge of data processing languages, such as SQL, Python, or Scala, and understanding parallel processing and data architecture patterns.
Hours to complete
Approximately 13 months to complete
Suggested pace of 2 hours/week
Available languages
English
Subtitles: English

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