Data Engineering on Microsoft Azure DP - 203

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Course Highlights

40 Hours | DP – 203 and Data Engineering on Microsoft Azure | Weekends and weekdays batches available

Duration

40 Hours.

Batch Days

Weekends & Weekdays

Learning mode

Group, One-to-One, Corporate Batches, Online Live Classrooms

Passing score

700

A candidate for the Azure Data Engineer Associate certification should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.

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This course is ideal for

Candidates for this exam should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.
Azure data engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques.
These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
Azure data engineers also help ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss.
They also design, implement, monitor, and optimize data platforms to meet the data pipelines needs.
A candidate for this exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

What you'll learn

Create beautiful web flow. Learn how to migrate and host on Microsoft Azure

Module 1: Design and Implement Data Storage (40-45%)

Module 2: Design and Develop Data Processing (25-30%)

Module 3: Design and Implement Data Security (10-15%)

Module 4: Monitor and Optimize Data Storage and Data Processing (10-15%)

After completing this course, you will be able to

The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.
Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.

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